Triple
T7467787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rigu |
E176418
|
entity |
| Predicate | wornBy |
P271
|
FINISHED |
| Object | Dimasa women |
E237119
|
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: Dimasa women | Statement: [Rigu, wornBy, Dimasa women]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dimasa women Context triple: [Rigu, wornBy, Dimasa women]
-
A.
Dimasa
Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
-
B.
Dimasa community
chosen
The Dimasa community is an indigenous ethnic group of Northeast India, known for its distinct Tibeto-Burman language, rich folk traditions, and historical kingdom in the region now spanning parts of Assam and Nagaland.
-
C.
Ladies
The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
-
D.
The Women’s
The Women’s is a major specialist public hospital in Melbourne, Australia, dedicated to women’s health, maternity, and newborn care.
-
E.
Women
"Women" is a semi-autobiographical novel by Charles Bukowski that follows his hard-drinking alter ego Henry Chinaski through a series of raw, often chaotic relationships with various women.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f589cc81909f25268838c7c964 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83475392c8190a51d24e1530c0c83 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:40 p.m.