Triple

T13976783
Position Surface form Disambiguated ID Type / Status
Subject Indian Premier League E336206 entity
Predicate titleSponsorHistory P55710 FINISHED
Object Tata E759311 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: Tata | Statement: [Indian Premier League, titleSponsorHistory, Tata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tata
Context triple: [Indian Premier League, titleSponsorHistory, Tata]
  • A. Tata
    Tata is the nickname of Gerardo "Tata" Martino, an Argentine football manager and former player known for coaching top clubs and national teams, including FC Barcelona, Argentina, and Mexico.
  • B. Tata chosen
    Tata is a prominent Indian industrial and philanthropic family best known for founding and leading the multinational conglomerate Tata Group.
  • C. Tata
    Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
  • D. Tata
    Tata is a historic Hungarian town in Komárom-Esztergom County known for its lakes, castles, and natural surroundings.
  • E. Tata Motors
    Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e90dc148190b38e339aac0de484 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e1eb108190b3c0739b94556172 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.