Triple

T3596443
Position Surface form Disambiguated ID Type / Status
Subject Kutch E76150 entity
Predicate contains P35 FINISHED
Object Gandhidham E360774 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: Gandhidham | Statement: [Kutch, contains, Gandhidham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gandhidham
Context triple: [Kutch, contains, Gandhidham]
  • A. Gandhidham chosen
    Gandhidham is a planned town in the Kutch district of Gujarat, India, developed primarily to resettle refugees after the Partition and serving as a key commercial hub in the region.
  • B. Bhavnagar
    Bhavnagar is a coastal city in western India known for its historic trading port, diamond cutting industry, and cultural heritage within the state of Gujarat.
  • C. Rajkot
    Rajkot is a major city in the Indian state of Gujarat, known as an important commercial and cultural center of the Saurashtra region.
  • D. Margao
    Margao is a major commercial and cultural city in South Goa, India, known for its historic Portuguese influence and role as a gateway to nearby beaches.
  • E. Jalgaon
    Jalgaon is a city in northwestern Maharashtra, India, known as a major commercial center for banana production and trade.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19b26bc8190b3cc0613a1a98361 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a81fdf888190a4d9f75471b9ec39 completed March 14, 2026, 6:25 p.m.
Created at: March 8, 2026, 3:22 p.m.