Triple

T14896825
Position Surface form Disambiguated ID Type / Status
Subject AGRA E359898 entity
Predicate shortName P43 FINISHED
Object AGRA E359898 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: [AGRA, shortName, AGRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGRA
Context triple: [AGRA, shortName, AGRA]
  • A. AGRA chosen
    AGRA is an African-based organization focused on transforming smallholder agriculture to improve food security and incomes across the continent.
  • B. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • C. Fatehpur Sikri
    Fatehpur Sikri is a 16th-century fortified city in Uttar Pradesh, India, built by the Mughal emperor Akbar and renowned for its grand red sandstone architecture and historical significance as a former imperial capital.
  • D. 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.
  • E. 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.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6070b248190be8f4f91a0c0b1f3 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b6966e88190a0ed475b22a77cf1 completed May 8, 2026, 11:02 p.m.
Created at: April 10, 2026, 2:11 a.m.