Triple
T15648351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutchi |
E376238
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Lakhpat Kutchi |
E376237
|
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: Lakhpat Kutchi | Statement: [Kutchi, hasDialect, Lakhpat Kutchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakhpat Kutchi Context triple: [Kutchi, hasDialect, Lakhpat Kutchi]
-
A.
Karamchand
Karamchand is an Indian given name best known as part of the full name of Mahatma Gandhi, whose father was Karamchand Gandhi.
-
B.
Nandlal
Nandlal is an Indian given name, notably borne by Nandlal Nehru, an early 20th-century lawyer and member of the prominent Nehru family.
-
C.
Lakhpat
chosen
Lakhpat is a historic fortified town in the Kutch district of Gujarat, India, known for its massive walls and once-thriving port on the Arabian Sea.
-
D.
Lakhani
Lakhani is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
-
E.
Sirauli Gauspur
Sirauli Gauspur is a town in the Indian state of Uttar Pradesh known primarily as a local administrative and market center within its region.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed4d9f88190b7e24bf84c5a916f |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.