Triple

T3454055
Position Surface form Disambiguated ID Type / Status
Subject Rann Utsav E72858 entity
Predicate region P40 FINISHED
Object Kutch E76150 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: Kutch | Statement: [Rann Utsav, region, Kutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutch
Context triple: [Rann Utsav, region, Kutch]
  • A. Kutch chosen
    Kutch is a large district in western India known for its salt desert landscapes, rich handicraft traditions, and vibrant cultural festivals.
  • B. 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.
  • C. Kathiawar
    Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
  • D. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • E. Pratapgarh
    Pratapgarh is a town in the Indian state of Rajasthan known for its historical association with the Mewar region and its distinctive tribal culture and handicrafts.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa457fc8190824ca00254e962f9 completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e59178881909facfe90004c9d99 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:16 p.m.