Triple

T7356302
Position Surface form Disambiguated ID Type / Status
Subject Daman district E169633 entity
Predicate capital P234 FINISHED
Object Daman E169633 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: Daman | Statement: [Daman district, capital, Daman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daman
Context triple: [Daman district, capital, Daman]
  • A. Daman district chosen
    Daman district is a coastal administrative district in western India, known for its former Portuguese colonial heritage and status as part of the union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. Wandoor
    Wandoor is a coastal village in the Andaman Islands of India, known as a gateway to the Mahatma Gandhi Marine National Park and its surrounding beaches and coral reefs.
  • C. Jetpur
    Jetpur is a textile and dyeing hub town in Gujarat, India, known for its cotton saree printing and screen-printing industries.
  • D. Naupada
    Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
  • E. Dinapore
    Dinapore was a major British military cantonment and administrative center in colonial India, located near present-day Patna in Bihar.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13a62e48190a2d1781a630aa9f0 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b69cb4819096815b1fac284840 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.