Triple

T6973099
Position Surface form Disambiguated ID Type / Status
Subject Wipro Limited E161643 entity
Predicate hasADR P52863 FINISHED
Object WIT (NYSE) E161643 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: WIT (NYSE) | Statement: [Wipro Limited, hasADR, WIT (NYSE)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIT (NYSE)
Context triple: [Wipro Limited, hasADR, WIT (NYSE)]
  • A. WIT (NYSE) chosen
    WIT (NYSE) is the New York Stock Exchange ticker symbol for Wipro Limited, a major Indian multinational information technology services and consulting company.
  • B. Wirtz Corporation
    Wirtz Corporation is a Chicago-based, family-owned holding company with major interests in sports, liquor distribution, and real estate, best known for controlling the NHL’s Chicago Blackhawks.
  • C. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • D. Whitney Group
    Whitney Group is a private risk management and security consultancy firm known for employing former government and intelligence officials.
  • E. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3aad108190b19df2d21f5ce168 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761a2b2f481908718b4803cfbfae9 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.