Triple
T13558784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ota |
E323849
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Awori |
E60522
|
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: Awori | Statement: [Ota, ethnicGroup, Awori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awori Context triple: [Ota, ethnicGroup, Awori]
-
A.
Awori
chosen
The Awori are a subgroup of the Yoruba people known for their early settlement around Lagos and Ogun in southwestern Nigeria and their significant role in the region’s cultural and urban development.
-
B.
Oloibiri
Oloibiri is a historic town in Bayelsa State, Nigeria, best known as the site where commercial quantities of crude oil were first discovered in the country.
-
C.
Anozie
Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
-
D.
Aroroy
Aroroy is a coastal municipality in the province of Masbate in the Philippines, known historically for its gold mining and fishing industries.
-
E.
Ofolanga
Ofolanga is a small island in the Haʻapai group of Tonga, known for its remote, unspoiled beaches and traditional Polynesian character.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75dab4974819097880ad4d50f1b34 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.