Triple

T19395373
Position Surface form Disambiguated ID Type / Status
Subject Etah E485174 entity
Predicate distanceTo P350 FINISHED
Object Mainpuri NE NERFINISHED

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: Mainpuri | Statement: [Etah, distanceTo, Mainpuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mainpuri
Context triple: [Etah, distanceTo, Mainpuri]
  • A. Mainpuri chosen
    Mainpuri is a city in the Indian state of Uttar Pradesh, known for its cultural heritage within the Braj region and its historical and agricultural significance.
  • B. Medinipur
    Medinipur is a parliamentary constituency and region in the Indian state of West Bengal, known for its historical significance and political importance.
  • C. Purulia
    Purulia is a town in eastern India known as the administrative headquarters of Purulia district and for its distinctive Chhau dance and scenic, hilly landscape.
  • D. Purnea
    Purnea is a prominent city in the Indian state of Bihar, known as a commercial and educational hub for the surrounding northeastern region.
  • E. Sagarpur
    Sagarpur is a densely populated residential locality in southwest Delhi, India, known for its bustling markets and proximity to the Palam area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b4875ac8190a9c184c075b5db16 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.