Triple
T13216539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marwari cuisine |
E314630
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Marwar |
E80117
|
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: Marwar | Statement: [Marwari cuisine, region, Marwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marwar Context triple: [Marwari cuisine, region, Marwar]
-
A.
Marwar
chosen
Marwar is a historic desert region in the western part of Rajasthan, India, known for its Rajput heritage, forts, and distinctive Marwari culture and language.
-
B.
Bikaner
Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
-
C.
Jodhpur
Jodhpur is a historic city in the Indian state of Rajasthan, renowned for its blue-painted old town, imposing Mehrangarh Fort, and role as a major cultural and commercial center on the edge of the Thar Desert.
-
D.
Phalodi
Phalodi is a historic town in the Indian state of Rajasthan, known for its desert landscape, salt industry, and extreme temperature records.
-
E.
Jalore
Jalore is a historic town and district headquarters in the Indian state of Rajasthan, known for its ancient fort and role in the Marwar region’s history.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb63f006c8190997c0f3cdc6efd6c |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 9, 2026, 9:18 p.m.