Triple
T6391531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enugu State |
E143837
|
entity |
| Predicate | hasLocalGovernmentArea |
P8215
|
FINISHED |
| Object | Awgu |
E591259
|
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: Awgu | Statement: [Enugu State, hasLocalGovernmentArea, Awgu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awgu Context triple: [Enugu State, hasLocalGovernmentArea, Awgu]
-
A.
Awgu
chosen
Awgu is a town and local government area in southeastern Nigeria that serves as one of the administrative and cultural centers within Enugu State.
-
B.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
C.
Ayawa
Ayawa is an alternative name for the Yao people, an ethnic group found primarily in parts of East and Southern Africa.
-
D.
Awajún
Awajún are an Indigenous people of the Peruvian Amazon known for their distinct language, rich oral traditions, and long history of resistance to outside domination.
-
E.
Awá
The Awá are an Indigenous people of the Colombia–Ecuador border region, known for their rainforest-based livelihoods and strong defense of their ancestral territories.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0687db4b881909dd84d5a947cc3e3 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640ba9e04819098713f5bea7ebdbc |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:34 p.m.