Triple

T18748349
Position Surface form Disambiguated ID Type / Status
Subject Bhujia Fort E458460 entity
Predicate region P40 FINISHED
Object Kutch 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: Kutch | Statement: [Bhujia Fort, region, Kutch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutch
Context triple: [Bhujia Fort, 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. Kutchi
    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.
  • C. Sirohi
    Sirohi is a town in the Indian state of Rajasthan known for its historical significance and role as the former seat of a princely state.
  • D. Palanpur State
    Palanpur State was a former princely state in western India, located in present-day Gujarat and ruled by the Palanpur Nawabs under British suzerainty until independence.
  • E. Ratlam State
    Ratlam State was a princely state in British India, located in the Malwa region of present-day Madhya Pradesh and ruled by a dynasty of Rathore Rajputs.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579e9903c81908180c46012bd0948 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.