Triple

T21433313
Position Surface form Disambiguated ID Type / Status
Subject WNIT E528743 entity
Predicate relatedTo P37 FINISHED
Object NIT 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: NIT | Statement: [WNIT, relatedTo, NIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NIT
Context triple: [WNIT, relatedTo, NIT]
  • A. NIT
    NIT is a Japanese national university in Nagoya specializing in science, engineering, and technology education and research.
  • B. NIT
    NIT is the common abbreviation for the Nürnberg Ice Tigers, a professional ice hockey team based in Nuremberg, Germany.
  • C. NIT
    NIT is a major marine cargo terminal within the Port of Virginia, serving as a key hub for container shipping and logistics.
  • D. NIT chosen
    NIT is a postseason college basketball tournament in the United States that traditionally features NCAA Division I teams that did not receive bids to the NCAA Tournament.
  • E. Council of NITs
    The Council of NITs is the apex coordinating and decision-making body overseeing all National Institutes of Technology in India.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813fe2108190a4193f69667fe79e completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:59 p.m.