Triple

T22906958
Position Surface form Disambiguated ID Type / Status
Subject Vadnagar E568473 entity
Predicate locatedNear P294 FINISHED
Object Visnagar E1478242 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: Visnagar | Statement: [Vadnagar, locatedNear, Visnagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visnagar
Context triple: [Vadnagar, locatedNear, Visnagar]
  • A. Visnagar chosen
    Visnagar is a town in the Mehsana district of Gujarat, India, known for its educational institutions and regional commercial activity.
  • B. Vallabhnagar
    Vallabhnagar is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the Udaipur region.
  • C. Valmikinagar
    Valmikinagar is a town in Bihar, India, known for its proximity to the Valmiki Tiger Reserve and its location along the Gandak River near the Indo-Nepal border.
  • D. Raisinghnagar
    Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
  • E. Nadiad
    Nadiad is a city in the Indian state of Gujarat, historically notable as the birthplace of independence leader Sardar Vallabhbhai Patel.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1801a48948190b5f51f1d02351fc7 completed April 29, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ac3832c8190b848a06e3671e9d6 completed May 19, 2026, 7:01 a.m.
Created at: April 17, 2026, 3:41 p.m.