Triple
T4054994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okrika |
E84671
|
entity |
| Predicate | neighboringArea |
P33892
|
FINISHED |
| Object | Eleme |
E288438
|
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: Eleme | Statement: [Okrika, neighboringArea, Eleme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleme Context triple: [Okrika, neighboringArea, Eleme]
-
A.
Eleme
chosen
Eleme are an ethnic subgroup of the Ogoni people in Nigeria’s Rivers State, known for their distinct language and culture within the Niger Delta region.
-
B.
Hamey
Hamey is a diminutive or affectionate nickname derived from the given name Hamish.
-
C.
Meleys
Meleys is a fearsome red she-dragon from George R.R. Martin’s "A Song of Ice and Fire" universe, famed for her speed and ridden in the Dance of the Dragons by Princess Rhaenys Targaryen.
-
D.
Wushe
Wushe is a mountainous region in central Taiwan historically inhabited by Indigenous Seediq people and known as the site of the 1930 Wushe Incident.
-
E.
Aldhame
Aldhame is a historic coastal site in East Lothian, Scotland, notable for its early Christian associations and medieval chapel ruins.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01994b0c8190b34af36acadad5c6 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a0f19c819084d23c3802ce8ca6 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.