Triple

T582650
Position Surface form Disambiguated ID Type / Status
Subject Gujarat E15090 entity
Predicate hasMajorCity P316 FINISHED
Object Ahmedabad E14357 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: Ahmedabad | Statement: [Gujarat, hasMajorCity, Ahmedabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmedabad
Context triple: [Gujarat, hasMajorCity, Ahmedabad]
  • A. Ahmedabad chosen
    Ahmedabad is a major city in the western Indian state of Gujarat, known for its rich history, textile industry, and role as an important economic and cultural center.
  • B. Gandhinagar
    Gandhinagar is a planned city in western India known for serving as the administrative and political center of the state of Gujarat.
  • C. Surat
    Surat is a historic port city in the Indian state of Gujarat that became an important center of trade and commerce during the Mughal and early colonial periods.
  • D. Jaipur
    Jaipur is a major historic city in northwestern India, famed for its pink-hued architecture, royal palaces, and role as a key cultural and tourist center.
  • E. Rajkot
    Rajkot is a major city in the Indian state of Gujarat, known as an important commercial and cultural center of the Saurashtra 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b93323c8190948dd9993a468a78 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:33 p.m.