Triple
T8555174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jelebu District |
E202545
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Simpang Pertang
Simpang Pertang is a small town and local settlement in the Jelebu District of Negeri Sembilan, Malaysia.
|
E742034
|
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: Simpang Pertang | Statement: [Jelebu District, hasSettlement, Simpang Pertang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simpang Pertang Context triple: [Jelebu District, hasSettlement, Simpang Pertang]
-
A.
Sampang
Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
-
B.
Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
-
C.
Tumpang
Tumpang is a subdistrict in Malang Regency, East Java, Indonesia, known for its proximity to historical temples and as a gateway to the Bromo-Tengger-Semeru area.
-
D.
Subang Jaya
Subang Jaya is a major suburban city in the Klang Valley region of Malaysia, known for its dense residential areas, commercial hubs, and educational institutions.
-
E.
Kampar
Kampar is a town and district in Perak, Malaysia, historically notable as the site of a major World War II battle between British Commonwealth and Japanese forces.
- 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: Simpang Pertang Triple: [Jelebu District, hasSettlement, Simpang Pertang]
Generated description
Simpang Pertang is a small town and local settlement in the Jelebu District of Negeri Sembilan, Malaysia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simpang Pertang Target entity description: Simpang Pertang is a small town and local settlement in the Jelebu District of Negeri Sembilan, Malaysia.
-
A.
Sampang
Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
-
B.
Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
-
C.
Tumpang
Tumpang is a subdistrict in Malang Regency, East Java, Indonesia, known for its proximity to historical temples and as a gateway to the Bromo-Tengger-Semeru area.
-
D.
Subang Jaya
Subang Jaya is a major suburban city in the Klang Valley region of Malaysia, known for its dense residential areas, commercial hubs, and educational institutions.
-
E.
Kampar
Kampar is a town and district in Perak, Malaysia, historically notable as the site of a major World War II battle between British Commonwealth and Japanese forces.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88a936c8190a0234bf7da2ff55a |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dd67d288190a147562a99ecde56 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ee1bae4819099ef302138599b34 |
completed | April 2, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fb93fd88190bc53a925473f9b71 |
completed | April 2, 2026, 1:31 p.m. |
Created at: March 30, 2026, 6:19 p.m.