Triple
T12343143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universiti Tunku Abdul Rahman (Kampar campus nearby region) |
E294281
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Universiti Tunku Abdul Rahman
Universiti Tunku Abdul Rahman is a prominent private university in Malaysia known for its comprehensive academic programs and multiple campuses, including its main campus in Kampar, Perak.
|
E978884
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Universiti Tunku Abdul Rahman | Statement: [Universiti Tunku Abdul Rahman (Kampar campus nearby region), partOf, Universiti Tunku Abdul Rahman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universiti Tunku Abdul Rahman Context triple: [Universiti Tunku Abdul Rahman (Kampar campus nearby region), partOf, Universiti Tunku Abdul Rahman]
-
A.
Universiti Kuala Lumpur
Universiti Kuala Lumpur is a leading Malaysian technical university known for its industry-focused engineering and technology programs based in the capital city, Kuala Lumpur.
-
B.
National University of Malaysia
The National University of Malaysia is a leading Malaysian public research university known for its strong emphasis on national identity, Malay language scholarship, and comprehensive academic programs across diverse disciplines.
-
C.
Universiti Teknologi MARA
Universiti Teknologi MARA is a major Malaysian public university and one of the country’s largest institutions of higher learning, known for providing accessible education primarily to Bumiputera students across multiple campuses nationwide.
-
D.
Universiti Malaysia Pahang
Universiti Malaysia Pahang is a Malaysian public technical university known for its engineering and technology programs, located in the state of Pahang.
-
E.
Universiti Malaysia Perlis
Universiti Malaysia Perlis is a Malaysian public university known for its focus on engineering, technology, and applied sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Universiti Tunku Abdul Rahman Triple: [Universiti Tunku Abdul Rahman (Kampar campus nearby region), partOf, Universiti Tunku Abdul Rahman]
Generated description
Universiti Tunku Abdul Rahman is a prominent private university in Malaysia known for its comprehensive academic programs and multiple campuses, including its main campus in Kampar, Perak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Universiti Tunku Abdul Rahman Target entity description: Universiti Tunku Abdul Rahman is a prominent private university in Malaysia known for its comprehensive academic programs and multiple campuses, including its main campus in Kampar, Perak.
-
A.
Universiti Kuala Lumpur
Universiti Kuala Lumpur is a leading Malaysian technical university known for its industry-focused engineering and technology programs based in the capital city, Kuala Lumpur.
-
B.
National University of Malaysia
The National University of Malaysia is a leading Malaysian public research university known for its strong emphasis on national identity, Malay language scholarship, and comprehensive academic programs across diverse disciplines.
-
C.
Universiti Teknologi MARA
Universiti Teknologi MARA is a major Malaysian public university and one of the country’s largest institutions of higher learning, known for providing accessible education primarily to Bumiputera students across multiple campuses nationwide.
-
D.
Universiti Malaysia Pahang
Universiti Malaysia Pahang is a Malaysian public technical university known for its engineering and technology programs, located in the state of Pahang.
-
E.
Universiti Malaysia Perlis
Universiti Malaysia Perlis is a Malaysian public university known for its focus on engineering, technology, and applied sciences.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f78a970819086beec3e4da8c49e |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aaa1d548190be065412aab70385 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c55aacc8190a0544306825bdfab |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d51ab8081909c6f534051019dca |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:53 p.m.