Triple
T2598769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oshun |
E58293
|
entity |
| Predicate | relatedDeity |
P23286
|
FINISHED |
| Object | Oba |
E279662
|
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: Oba | Statement: [Oshun, relatedDeity, Oba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oba Context triple: [Oshun, relatedDeity, Oba]
-
A.
Oba
chosen
Oba is a Yoruba river orisha revered as one of the wives of the thunder god Shango, associated with marital fidelity, sacrifice, and emotional resilience.
-
B.
Obihiro
Obihiro is a mid-sized city in eastern Hokkaido, Japan, known for its agricultural production, horse racing, and cold, snowy winters.
-
C.
Oghi
Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
-
D.
Aobadai
Aobadai is a residential and commercial neighborhood in Meguro, Tokyo, known for its upscale apartments, cafes, and convenient access to central Tokyo.
-
E.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4563b8c8190934616651e93654c |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af907b01d4819090bfd0c8ec1bf70e |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:49 p.m.