Triple
T2907725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minna |
E63605
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Bida |
E309409
|
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: Bida | Statement: [Minna, nearbyCity, Bida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bida Context triple: [Minna, nearbyCity, Bida]
-
A.
Bida
chosen
Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
-
B.
Buin
Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
-
C.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
D.
Bago
Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
E.
Qardaha
Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d1dcf881909b3ae58d7cdfd9cd |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08658407c8190ad7798590dd17ef9 |
completed | March 10, 2026, 9 p.m. |
Created at: March 6, 2026, 10:11 p.m.