Triple
T12834518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogoja |
E306872
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Ogoja plains |
E306872
|
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: Ogoja plains | Statement: [Ogoja, locatedOn, Ogoja plains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogoja plains Context triple: [Ogoja, locatedOn, Ogoja plains]
-
A.
Ogoja
chosen
Ogoja is a historic town and former provincial headquarters in southeastern Nigeria, known as an important administrative and commercial center in Cross River State.
-
B.
Obio-Akpor
Obio-Akpor is a prominent local government area and urban center in Nigeria that forms part of the greater Port Harcourt metropolitan region in Rivers State.
-
C.
Ogwashi-Ukwu
Ogwashi-Ukwu is a town in Delta State, southern Nigeria, known as the hometown of prominent economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
-
D.
Ologe Lagoon
Ologe Lagoon is a coastal lagoon in Lagos State, Nigeria, forming part of the complex lagoon system that supports local fishing, transportation, and surrounding wetland ecosystems.
-
E.
Umuahia
Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b9bb0b48190ba3f9f92d270db83 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:34 p.m.