Triple

T12386087
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 FINISHED
Object Chandannagar E86823 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: Chandannagar | Statement: [Kolkata Metropolitan Area, containsCity, Chandannagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandannagar
Context triple: [Kolkata Metropolitan Area, containsCity, Chandannagar]
  • A. Chandannagar chosen
    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.
  • B. Dispur
    Dispur is a locality in Guwahati that serves as the administrative and political center of the Indian state of Assam.
  • C. Chinsurah
    Chinsurah is a historic town in the Hooghly district of West Bengal, India, known for its colonial heritage and educational institutions.
  • D. Agartala
    Agartala is the capital city of the Indian state of Tripura and a major urban and economic center in Northeast India.
  • 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 (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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.