Triple
T2887233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross River State |
E59533
|
entity |
| Predicate | hasLocalGovernmentArea |
P8215
|
FINISHED |
| Object | Obubra |
E306876
|
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: Obubra | Statement: [Cross River State, hasLocalGovernmentArea, Obubra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obubra Context triple: [Cross River State, hasLocalGovernmentArea, Obubra]
-
A.
Obubra
chosen
Obubra is a prominent town and local government area in southeastern Nigeria known for its diverse ethnic communities and agricultural activities.
-
B.
Riaba
Riaba is a small town on Bioko Island in Equatorial Guinea, known historically as one of the island’s early colonial settlements.
-
C.
Uda
Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
-
D.
Bole
Bole is a West Chadic language spoken primarily in northeastern Nigeria, known for its complex tonal system and role as a regional lingua franca among Bole-speaking communities.
-
E.
Uromi
Uromi is a prominent town in southern Nigeria known as a key commercial and cultural center within Edo State.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe047aa7c8190a0ed570c13f3a1a2 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055f2d72c8190b81b2b0b3093ae57 |
completed | March 10, 2026, 5:33 p.m. |
Created at: March 6, 2026, 10:03 p.m.