Triple

T21749510
Position Surface form Disambiguated ID Type / Status
Subject Wadhwan E536874 entity
Predicate hasNearbyCity P350 FINISHED
Object Surendranagar 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: Surendranagar | Statement: [Wadhwan, hasNearbyCity, Surendranagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surendranagar
Context triple: [Wadhwan, hasNearbyCity, Surendranagar]
  • A. Surendranagar chosen
    Surendranagar is a city in the Indian state of Gujarat known historically as a regional trade and administrative center.
  • B. Devendranagar
    Devendranagar is a town in the Panna district of Madhya Pradesh, India, known as a local commercial and residential hub for surrounding rural areas.
  • C. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • D. Dabhoi
    Dabhoi is a historic town in the Indian state of Gujarat, known for its ancient fortifications and architectural heritage.
  • E. Bhuj
    Bhuj is a historic city in the Kutch district of Gujarat, India, known for its rich cultural heritage, traditional handicrafts, and role as a regional commercial and administrative center.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a78bd908190b74e26ab1cc8788f completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:50 p.m.