Triple
T12117214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murut |
E288595
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Keningau Division |
E288600
|
NE FINISHED |
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: Keningau Division | Statement: [Murut, region, Keningau Division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keningau Division Context triple: [Murut, region, Keningau Division]
-
A.
Kubu Raya Regency
Kubu Raya Regency is an administrative region in West Kalimantan, Indonesia, located just outside Pontianak and known for hosting the area’s main air gateway.
-
B.
Keningau
chosen
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
C.
Kemaman District
Kemaman District is an administrative region in the state of Terengganu, Malaysia, known for its coastal towns, petroleum-based industries, and fishing activities along the South China Sea.
-
D.
Manjung District
Manjung District is a coastal administrative district in the state of Perak, Malaysia, known for its maritime economy, tourism, and nearby island destinations.
-
E.
Donga-Mantung Division
Donga-Mantung Division is an administrative division in northwestern Cameroon known for its predominantly rural communities and agricultural economy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f682397c819085a86a98e079660b |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.