Triple

T14556282
Position Surface form Disambiguated ID Type / Status
Subject Rennes bus network E341549 entity
Predicate hasBrand P1500 FINISHED
Object STAR E1105983 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: STAR | Statement: [Rennes bus network, hasBrand, STAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STAR
Context triple: [Rennes bus network, hasBrand, STAR]
  • A. STAR
    STAR is a large-scale particle physics detector at the Relativistic Heavy Ion Collider designed to study the properties of quark-gluon plasma and the behavior of nuclear matter at extreme energy densities.
  • B. STAR
    STAR (Street Transvestite Action Revolutionaries) was a pioneering activist organization founded in 1970 by Sylvia Rivera and Marsha P. Johnson to support and advocate for homeless queer and trans youth in New York City.
  • C. STAR chosen
    STAR is the public transport network and brand serving the city of Rennes and its metropolitan area in France.
  • D. Star
    Star is the costumed mascot character for the WNBA’s Atlanta Dream, entertaining fans and representing the team at games and events.
  • E. Star
    Star is the surname of American television producer, director, and writer Darren Star, best known for creating hit series such as "Sex and the City" and "Beverly Hills, 90210."
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b1760481909119db555fd05429 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.