Triple

T1477267
Position Surface form Disambiguated ID Type / Status
Subject Dadra and Nagar Haveli and Daman and Diu E30869 entity
Predicate hasCity P316 FINISHED
Object Silvassa E265378 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: Silvassa | Statement: [Dadra and Nagar Haveli and Daman and Diu, hasCity, Silvassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silvassa
Context triple: [Dadra and Nagar Haveli and Daman and Diu, hasCity, Silvassa]
  • A. Silvassa chosen
    Silvassa is an industrial and commercial town in western India that serves as the capital and main urban center of the union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. Jabalpur
    Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
  • C. Raipur
    Raipur is a major city in central India that serves as the commercial and administrative hub of the state of Chhattisgarh.
  • D. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • E. Yamunanagar
    Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c603f9e88190b340734709534860 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69aef06b043481909eb0195456f1f7fa completed March 9, 2026, 4:08 p.m.
Created at: March 1, 2026, 8:11 p.m.