Triple

T17991463
Position Surface form Disambiguated ID Type / Status
Subject Battle of Chinsurah E430383 entity
Predicate location P40 FINISHED
Object Chinsurah 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: Chinsurah | Statement: [Battle of Chinsurah, location, Chinsurah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinsurah
Context triple: [Battle of Chinsurah, location, Chinsurah]
  • A. Chinsurah chosen
    Chinsurah is a historic town in the Hooghly district of West Bengal, India, known for its colonial heritage and educational institutions.
  • B. Chandanagar
    Chandanagar is a residential and commercial suburb in the northwestern part of Hyderabad, India, known for its proximity to IT hubs and growing urban infrastructure.
  • C. Chandannagar
    Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
  • D. Barrackpore
    Barrackpore is a historic cantonment town in West Bengal, India, notable as an early British military base and a key site in the events leading up to the Indian Rebellion of 1857.
  • E. Jalukbari
    Jalukbari is a locality in Guwahati, Assam, known as an educational hub that hosts institutions such as Gauhati University.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29fd7648190b7f09ea60c7b96a8 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.