Triple
T12022681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iseyin |
E286191
|
entity |
| Predicate | hasLocalGovernmentHeadquarters |
P24397
|
FINISHED |
| Object | Iseyin |
E286191
|
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: Iseyin | Statement: [Iseyin, hasLocalGovernmentHeadquarters, Iseyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iseyin Context triple: [Iseyin, hasLocalGovernmentHeadquarters, Iseyin]
-
A.
Iseyin
chosen
Iseyin is a prominent town in southwestern Nigeria known for its traditional textile (Aso Oke) weaving and agricultural activities.
-
B.
Ifelodun
Ifelodun is a local government area in Kwara State, Nigeria, known for its predominantly agrarian communities and diverse Yoruba-speaking population.
-
C.
Yakurr
Yakurr is a local government area in southeastern Nigeria known for its rich cultural heritage and predominantly agrarian communities.
-
D.
Ilesa
Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
-
E.
Isawiya
Isawiya is a Palestinian neighborhood in East Jerusalem located near the French Hill area.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ee4f9081909e5a58ecbd830b14 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b71e5c48190a58ace8ef7c8928d |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:47 p.m.