Triple

T15749019
Position Surface form Disambiguated ID Type / Status
Subject NCTD E381798 entity
Predicate operates P24 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: [NCTD, operates, BREEZE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BREEZE
Context triple: [NCTD, operates, BREEZE]
  • A. BREEZE chosen
    BREEZE is a local bus service in northern San Diego County, California, operated by the North County Transit District.
  • B. Breeze
    Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
  • 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. The Breeze and I
    "The Breeze and I" is a popular song famously recorded by Italian singer Caterina Valente, showcasing her virtuosic vocal style and helping to establish her international fame in the 1950s.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830b85408190b9ae4d6752524b99 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.