Triple

T19937367
Position Surface form Disambiguated ID Type / Status
Subject NH 19 E479206 entity
Predicate terminusCity P1866 FINISHED
Object Dankuni 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: Dankuni | Statement: [NH 19, terminusCity, Dankuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dankuni
Context triple: [NH 19, terminusCity, Dankuni]
  • A. Dankuni chosen
    Dankuni is an industrial and residential town in West Bengal, India, known for its strategic location near Kolkata and its role as a transport and logistics hub.
  • B. Kanembu
    The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
  • C. Barakude
    Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
  • D. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • E. Pukumina
    Pukumina is a Jamaican Afro-Christian religious tradition blending African spiritual practices with Christian elements, known for spirit possession, drumming, and healing rituals.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a17fb2c8190b3aaae88e741648a completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.