Triple

T12386103
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metropolitan Area E295867 entity
Predicate containsCity P294 FINISHED
Object Champdani E635172 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: Champdani | Statement: [Kolkata Metropolitan Area, containsCity, Champdani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champdani
Context triple: [Kolkata Metropolitan Area, containsCity, Champdani]
  • A. Champdani chosen
    Champdani is an industrial town in West Bengal, India, known for its jute mills and location along the Hooghly River near Kolkata.
  • B. Shahi
    Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
  • C. Rustom Cama
    Rustom Cama was the husband of Indian independence activist Bhikaji Cama, about whom relatively little is historically documented compared to his prominent spouse.
  • D. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • E. Chaam
    Chaam is a village in the Dutch province of North Brabant, known for its rural character and historic ties to the Baronie of Breda.
  • 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.