Triple

T10012399
Position Surface form Disambiguated ID Type / Status
Subject Howrah Sadar subdivision E199405 entity
Predicate contains P35 FINISHED
Object Santragachi E196586 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: Santragachi | Statement: [Howrah Sadar subdivision, contains, Santragachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santragachi
Context triple: [Howrah Sadar subdivision, contains, Santragachi]
  • A. Santragachi chosen
    Santragachi is a prominent residential and transport hub in the Howrah region of West Bengal, known especially for its major railway junction and nearby lake that attracts migratory birds.
  • B. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • C. Sahodhari
    Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
  • D. Shingora
    Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
  • E. Gajanana
    Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd3cf5b881908f5318e55bdd22b6 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a858c848190887a035a9ac04c5e completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.