Triple
T11579108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urhobo |
E274578
|
entity |
| Predicate | majorClan |
P1915
|
FINISHED |
| Object | Abraka |
E274588
|
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: Abraka | Statement: [Urhobo, majorClan, Abraka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abraka Context triple: [Urhobo, majorClan, Abraka]
-
A.
Abraka
chosen
Abraka is a prominent town in Delta State, Nigeria, known for its Urhobo population and as the location of Delta State University.
-
B.
Abraxas
Abraxas is a mystical term originating in Gnostic traditions, often used as a name for a powerful, transcendent deity or symbolic figure representing the union of opposites.
-
C.
Abaknon
Abaknon is an Austronesian language spoken by the Abaknon people, primarily on Capul Island in Northern Samar, Philippines.
-
D.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
E.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714080a60819095205355776c8637 |
completed | April 21, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:38 p.m.