Triple

T4309744
Position Surface form Disambiguated ID Type / Status
Subject Agra Municipal Corporation E94041 entity
Predicate jurisdiction P82 FINISHED
Object Agra urban area E397936 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: Agra urban area | Statement: [Agra Municipal Corporation, jurisdiction, Agra urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agra urban area
Context triple: [Agra Municipal Corporation, jurisdiction, Agra urban area]
  • A. Agra metropolitan area chosen
    The Agra metropolitan area is the urban agglomeration centered on the historic city of Agra in Uttar Pradesh, India, encompassing its surrounding suburbs and satellite localities.
  • B. Agra division
    Agra division is an administrative division in the Indian state of Uttar Pradesh that includes the city of Agra and surrounding districts.
  • C. Agra district
    Agra district is an administrative district in the Indian state of Uttar Pradesh, best known for encompassing the city of Agra, home to the Taj Mahal.
  • D. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • E. Aligarh
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d55d748190a57fabcf58782dba completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c759b65081909b02db56febbc484 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:11 p.m.