Triple

T236804
Position Surface form Disambiguated ID Type / Status
Subject Bengal E4840 entity
Predicate traditionalTheatre P3174 FINISHED
Object Jatra LITERAL 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: Jatra | Statement: [Bengal, traditionalTheatre, Jatra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalTheatre
Context triple: [Bengal, traditionalTheatre, Jatra]
  • A. theatre
    Indicates that an entity is a theater or is associated with theatrical performances or activities.
  • B. theater
    Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
  • C. relatedTheater
    Indicates a relationship where one entity is associated with, connected to, or relevant in the context of a particular theater or theatrical venue.
  • D. dramaticForm chosen
    Indicates that one entity is expressed, structured, or realized in the form of a particular dramatic genre or theatrical mode.
  • E. stage
    Indicates that an entity organizes, presents, or performs another entity (such as an event, show, or action) as a staged occurrence.
  • F. None of above.

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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ccc5d548190b505bf1d99db41bd completed Feb. 28, 2026, 3:11 a.m.
PD Predicate disambiguation batch_69a25b5dc640819092669575731c393f completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.