Triple
T23283035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MINDEF Headquarters |
E588917
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Gombak |
—
|
NE NERFINISHED |
How this triple was built (2 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: Gombak | Statement: [MINDEF Headquarters, locatedIn, Gombak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gombak Context triple: [MINDEF Headquarters, locatedIn, Gombak]
-
A.
Gombak
chosen
Gombak is a district in the state of Selangor, Malaysia, located within the greater Kuala Lumpur metropolitan area in the Klang Valley.
-
B.
Ampang Jaya
Ampang Jaya is a suburban municipality in the state of Selangor, Malaysia, forming part of the greater Kuala Lumpur metropolitan area.
-
C.
Seremban
Seremban is the capital city of the Malaysian state of Negeri Sembilan, known as an administrative, commercial, and cultural center in the western part of Peninsular Malaysia.
-
D.
Kuala Pilah
Kuala Pilah is a historic inland town in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and role as an administrative and commercial center for the surrounding rural district.
-
E.
Sungai Buloh
Sungai Buloh is a town and mukim in Selangor, Malaysia, known for its residential areas, industrial zones, and historical leprosy settlement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196447a748190bd797ec9baa63fc3 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:58 p.m.