Triple

T15145116
Position Surface form Disambiguated ID Type / Status
Subject Sadhu Bet E361785 entity
Predicate locatedNear P294 FINISHED
Object Kevadia E359376 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: Kevadia | Statement: [Sadhu Bet, locatedNear, Kevadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevadia
Context triple: [Sadhu Bet, locatedNear, Kevadia]
  • A. Kevadia chosen
    Kevadia is a town in Gujarat, India, known as the gateway to the Sardar Sarovar Dam and the nearby Statue of Unity tourist complex.
  • B. Ponda
    Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
  • C. Warud
    Warud is a town in Maharashtra, India, known for its orange production and location within the Amravati district.
  • D. Amandola
    Amandola is a historic hill town in Italy’s Marche region, known for its medieval center and proximity to the Monti Sibillini National Park.
  • E. Faqous
    Faqous is a city in Egypt’s Nile Delta region, situated within the Sharqia Governorate and known for its agricultural surroundings and local trade.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.