Triple

T14599128
Position Surface form Disambiguated ID Type / Status
Subject Queensbridge Venture Partners E342653 entity
Predicate portfolioCompany P43497 FINISHED
Object SeatGeek E248994 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: SeatGeek | Statement: [Queensbridge Venture Partners, portfolioCompany, SeatGeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SeatGeek
Context triple: [Queensbridge Venture Partners, portfolioCompany, SeatGeek]
  • A. SeatGeek chosen
    SeatGeek is a mobile-focused ticketing platform and marketplace for live sports, concerts, and entertainment events.
  • B. StubHub Center
    StubHub Center is a major sports and entertainment complex in Carson, California, best known as a former home stadium of the LA Galaxy soccer team and host to various professional and collegiate events.
  • C. StubHub (former)
    StubHub (former) is an online ticket marketplace that was previously owned by eBay and used for buying and selling event tickets.
  • D. TMB Tickets
    TMB Tickets is the official mobile application that allows users to purchase and manage public transport tickets for Barcelona’s metropolitan transit network.
  • E. GoTix
    GoTix is Gojek’s ticketing platform for purchasing event, movie, and entertainment tickets through the Gojek ecosystem.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb436d92881908fdf9267568feee2 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ca0fec81908fb9c674f48a793b completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.