Triple
T21965237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhrol |
E542439
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Kutchi |
—
|
NE NERFINISHED |
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: Kutchi | Statement: [Dhrol, languageSpoken, Kutchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kutchi Context triple: [Dhrol, languageSpoken, Kutchi]
-
A.
Kutchi
chosen
Kutchi is an Indo-Aryan language spoken primarily by the Kutchi people of the Kutch region in the Indian state of Gujarat and in diaspora communities abroad.
-
B.
Kutch
Kutch is a large district in western India known for its salt desert landscapes, rich handicraft traditions, and vibrant cultural festivals.
-
C.
Kathiawar
Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
-
D.
Kathiawari
Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
-
E.
Dakhni
Dakhni is a historical Indo-Aryan language variety that developed in the Deccan region of India, blending early Urdu/Hindavi with local languages and Persian-Arabic influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.