Triple

T15748848
Position Surface form Disambiguated ID Type / Status
Subject BREEZE E381792 entity
Predicate fareSystem P395 FINISHED
Object PRONTO E381796 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: PRONTO | Statement: [BREEZE, fareSystem, PRONTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PRONTO
Context triple: [BREEZE, fareSystem, PRONTO]
  • A. PRONTO chosen
    PRONTO is a contactless, account-based fare payment system used for public transit services in San Diego County, California.
  • B. Pronto
    Pronto is a crime novel by Elmore Leonard that introduces the character U.S. Marshal Raylan Givens in a fast-paced story of mobsters, hitmen, and a bookie on the run.
  • C. Pronto
    "Pronto" is a hip hop single released by American rapper Snoop Dogg.
  • D. Prossedi
    Prossedi is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • E. Prastos
    Prastos is a traditional mountain village in the Parnon range of Arcadia, in the Peloponnese region of Greece.
  • 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_69ff9094b4008190bb5c65fa2bd0f0b5 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:46 a.m.