Triple

T19173094
Position Surface form Disambiguated ID Type / Status
Subject Lakshmi Priya E469373 entity
Predicate associatedPlace P1481 FINISHED
Object Nadia district 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: Nadia district | Statement: [Lakshmi Priya, associatedPlace, Nadia district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadia district
Context triple: [Lakshmi Priya, associatedPlace, Nadia district]
  • A. Nadia district chosen
    Nadia district is an administrative district in the Indian state of West Bengal, known for its historical towns, cultural heritage, and agricultural economy.
  • B. Kitob District
    Kitob District is an administrative district in southern Uzbekistan, located within the Qashqadaryo Region and known for its mountainous terrain near the western Pamir-Alay range.
  • C. Almaza district
    Almaza district is a neighborhood in eastern Cairo, Egypt, known for its residential areas, military facilities, and the historic Almaza Airport.
  • D. Sheema District
    Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
  • E. Qabala District
    Qabala District is an administrative region in northern Azerbaijan known for its mountainous landscapes, historical sites, and role as a popular tourist destination.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16544948190bd10ca7804dd27a5 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.