Triple

T13223236
Position Surface form Disambiguated ID Type / Status
Subject Rameshwar Temple Vengurla E314807 entity
Predicate locatedInTown P40 FINISHED
Object Vengurla E316878 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: Vengurla | Statement: [Rameshwar Temple Vengurla, locatedInTown, Vengurla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vengurla
Context triple: [Rameshwar Temple Vengurla, locatedInTown, Vengurla]
  • A. Vengurla chosen
    Vengurla is a coastal town in Maharashtra, India, known for its scenic beaches, historic forts, and cashew plantations.
  • B. Navalgund
    Navalgund is a town in the Indian state of Karnataka known for its traditional handloom cotton and silk sarees, especially the distinctive Navalgund durries.
  • C. Vohra
    Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
  • D. Marvadi
    Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
  • E. Mandvi
    Mandvi is a historic coastal town in Gujarat, India, known for its shipbuilding heritage, beaches, and trading history within the Kutch region.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3407388190bef886884cb75912 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:19 p.m.