Triple
T14558422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jos East |
E341602
|
entity |
| Predicate | administrativeHeadquarters |
P62
|
FINISHED |
| Object | Angware |
E1107388
|
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: Angware | Statement: [Jos East, administrativeHeadquarters, Angware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angware Context triple: [Jos East, administrativeHeadquarters, Angware]
-
A.
Angware
chosen
Angware is a town in Plateau State, Nigeria, serving as the administrative center of Jos East Local Government Area.
-
B.
Sha Tau Kok
Sha Tau Kok is a frontier town in northeastern Hong Kong known for its restricted border area status and proximity to the boundary with mainland China.
-
C.
Tai Wai
Tai Wai is a residential and transport hub area in Hong Kong’s New Territories, known for its major railway interchange and proximity to Sha Tin.
-
D.
Hagonoy
Hagonoy is a coastal agricultural municipality in the province of Davao del Sur in the Philippines.
-
E.
Hagonoy
Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b1760481909119db555fd05429 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.