Triple
T6259588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khandeshi people |
E140261
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Ahirani |
E26116
|
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: Ahirani | Statement: [Khandeshi people, language, Ahirani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahirani Context triple: [Khandeshi people, language, Ahirani]
-
A.
Ahirani
chosen
Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
-
B.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
C.
Aruna
Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
-
D.
Ariany
Ariany is a small rural town on the Spanish island of Mallorca, known for its traditional Mallorcan character and agricultural surroundings.
-
E.
Aiani
Aiani is a town in northern Greece known for its archaeological significance and ancient Macedonian heritage.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06383616c819090c7994740317564 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24444b85c8190adf09c473b42ea9b |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:24 p.m.