Triple

T16982047
Position Surface form Disambiguated ID Type / Status
Subject MARTA Breeze fare system E411968 entity
Predicate shortName P43 FINISHED
Object Breeze E381792 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: Breeze | Statement: [MARTA Breeze fare system, shortName, Breeze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breeze
Context triple: [MARTA Breeze fare system, shortName, Breeze]
  • A. Breeze
    Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
  • B. BREEZE chosen
    BREEZE is a local bus service in northern San Diego County, California, operated by the North County Transit District.
  • C. Breezy
    Breezy is a 1973 romantic drama film directed by Clint Eastwood about a free-spirited young woman who forms an unlikely relationship with a middle-aged man.
  • D. Cool Breeze
    Cool Breeze is an American rapper from Atlanta best known as a member of the Dungeon Family collective alongside acts like Outkast and Goodie Mob.
  • E. Windy
    Windy is the costumed mascot character for the Wichita Wind Surge minor league baseball team, entertaining fans at games and team events.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18830ac8190a20c89a87379ae94 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d479610c8190a6281e6d4959b820 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.