Triple
T3471117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plateau State |
E73259
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Goemai |
E222784
|
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: Goemai | Statement: [Plateau State, hasEthnicGroup, Goemai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goemai Context triple: [Plateau State, hasEthnicGroup, Goemai]
-
A.
Goemai
chosen
Goemai is a West Chadic language spoken primarily in central Nigeria by the Goemai people.
-
B.
Gomi
Gomi is a settlement in central Georgia located within the administrative boundaries of Khashuri Municipality.
-
C.
Germoe
Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
-
D.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
-
E.
Honancho
Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3af0cc81909e575828caeaeae0 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680dd2c48190a06c5c320a06a71a |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.