Triple

T23013258
Position Surface form Disambiguated ID Type / Status
Subject CART E572961 entity
Predicate notableTeams P69211 FINISHED
Object Team Green 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: Team Green | Statement: [CART, notableTeams, Team Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Team Green
Context triple: [CART, notableTeams, Team Green]
  • A. Team Green chosen
    Team Green was a prominent American auto racing team that competed in major open-wheel series before evolving into Andretti Green Racing.
  • B. Team Gray
    Team Gray was a robotics team that gained recognition for competing in DARPA’s pioneering autonomous vehicle Grand Challenge.
  • C. The Maroon Team
    The Maroon Team is a sports team commonly identified by its maroon-colored uniforms and associated nickname.
  • D. Red and Blue Crew
    Red and Blue Crew is the official student cheering section that supports the University of Pennsylvania’s athletic teams, especially at Penn Quakers football games.
  • E. Team Tennyson
    Team Tennyson is the core group of protagonists in the Ben 10 franchise, consisting of Ben Tennyson and his close allies who work together to combat various alien threats and villains.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e300008190bb12c6388a8b3280 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.