Triple
T4753192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonds |
E105524
|
entity |
| Predicate | notableSubgroup |
P4297
|
FINISHED |
| Object | Koya Gond |
E128827
|
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: Koya Gond | Statement: [Gonds, notableSubgroup, Koya Gond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koya Gond Context triple: [Gonds, notableSubgroup, Koya Gond]
-
A.
Koya Gondi
chosen
Koya Gondi is a dialect of the Gondi language spoken primarily by the Koya tribal communities in central India.
-
B.
Koya
Koya is a Dravidian language spoken primarily by the Koya tribal communities in parts of central and southern India.
-
C.
Koya town
Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
-
D.
Chamundi Hill
Chamundi Hill is a prominent hill and pilgrimage site overlooking Mysuru, known for its ancient Chamundeshwari Temple and panoramic views of the city.
-
E.
Kohunlich
Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e72d1c81908eb60960751e52b1 |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a6600e481909c3fb1decf23d7d8 |
completed | March 21, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:20 p.m.