Triple
T12466788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinta Valley |
E297943
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Menglembu
Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
|
E984752
|
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: Menglembu | Statement: [Kinta Valley, containsTown, Menglembu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menglembu Context triple: [Kinta Valley, containsTown, Menglembu]
-
A.
Temiang
Temiang is a local area and state constituency within the city of Seremban in Negeri Sembilan, Malaysia.
-
B.
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.
-
C.
Kedang
Kedang is an Austronesian language spoken primarily on Lembata Island in eastern Indonesia.
-
D.
Belawa
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
-
E.
Melawi
Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
- 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: Menglembu Triple: [Kinta Valley, containsTown, Menglembu]
Generated description
Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Menglembu Target entity description: Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
-
A.
Temiang
Temiang is a local area and state constituency within the city of Seremban in Negeri Sembilan, Malaysia.
-
B.
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.
-
C.
Kedang
Kedang is an Austronesian language spoken primarily on Lembata Island in eastern Indonesia.
-
D.
Belawa
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
-
E.
Melawi
Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db979c481908778188794b2c08e |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1f44f481909c7efdffd2aeac41 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f641a309cc8190b2403e62a6acfe58 |
completed | May 2, 2026, 6:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6427c162c8190ae2c027913d43b9e |
completed | May 2, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.