Triple
T17274105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dargic languages |
E419340
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Chirag Dargwa |
E483545
|
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: Chirag Dargwa | Statement: [Dargic languages, hasPart, Chirag Dargwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chirag Dargwa Context triple: [Dargic languages, hasPart, Chirag Dargwa]
-
A.
Bhargav Merai
Bhargav Merai is an Indian domestic cricketer known as a key batsman for the Gujarat cricket team.
-
B.
Yogesh Chandrahasan
Yogesh Chandrahasan is an Indian architect best known for designing the National War Memorial in New Delhi.
-
C.
Kunal Khemu
Kunal Khemu is an Indian film actor who began his career as a popular child artist in the 1990s and later gained recognition for his roles in Hindi comedies and dramas.
-
D.
Chirag
chosen
Chirag is a Northeast Caucasian (Dargin) language variety spoken in parts of Dagestan, Russia.
-
E.
Tanay Chheda
Tanay Chheda is an Indian actor best known for playing the teenage version of Jamal Malik in the Academy Award–winning film "Slumdog Millionaire."
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4c209c81909c713ed78f2cb19a |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794d605481908b5e430c3142c203 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.