Triple

T4754462
Position Surface form Disambiguated ID Type / Status
Subject Gokul E105553 entity
Predicate nearestMajorAirport P281 FINISHED
Object Agra E16921 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 | Statement: [Gokul, nearestMajorAirport, Agra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agra
Context triple: [Gokul, nearestMajorAirport, Agra]
  • A. Agra chosen
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • B. AGRA
    AGRA is an African-based organization focused on transforming smallholder agriculture to improve food security and incomes across the continent.
  • C. Agra metropolitan area
    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.
  • D. Ayodhya
    Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
  • E. Allahabad
    Allahabad, officially known as Prayagraj, is a major city in the Indian state of Uttar Pradesh, historically significant as a political and cultural center and as a prominent site of the Kumbh Mela at the confluence of the Ganges, Yamuna, and mythical Saraswati rivers.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e882b08190b100582e6d2e0334 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be438d66088190b062c8bf4ceba653 completed March 21, 2026, 7:06 a.m.
Created at: March 20, 2026, 1:20 p.m.