Triple
T2871638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osun State |
E63575
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Iragbiji |
E303980
|
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: Iragbiji | Statement: [Osun State, hasMajorCity, Iragbiji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iragbiji Context triple: [Osun State, hasMajorCity, Iragbiji]
-
A.
Iragbiji
chosen
Iragbiji is a prominent town in southwestern Nigeria, recognized as one of the key urban centers of the Ijesha people in Osun State.
-
B.
Ikwuano
Ikwuano is a local government area in southeastern Nigeria known for its predominantly agrarian communities and cultural heritage within Abia State.
-
C.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
D.
Iraq
Iraq is a Middle Eastern country historically significant for its ancient Mesopotamian civilizations and its major role in 20th- and 21st-century geopolitics and conflicts.
-
E.
Abckiria
Abckiria is a 16th-century Finnish primer and religious text by Mikael Agricola, regarded as the first book printed in the Finnish language.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe46a1c819084399a191f0dfe9c |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db01d348190945ab982ce5c5b2d |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.