Triple

T17394400
Position Surface form Disambiguated ID Type / Status
Subject Beacon Hill station E422912 entity
Predicate fareSystem P395 FINISHED
Object ORCA 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: ORCA | Statement: [Beacon Hill station, fareSystem, ORCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORCA
Context triple: [Beacon Hill station, fareSystem, ORCA]
  • A. ORCA chosen
    ORCA is a regional smart transit card system used for paying fares across multiple public transportation agencies in the Puget Sound region of Washington State.
  • B. ORCA
    ORCA is a widely used, versatile quantum chemistry software package known for its efficient and accurate implementations of electronic structure methods, including density functional theory.
  • C. ORCA
    ORCA (Online Representations and Certifications Application) was a U.S. federal e-government system used by contractors to submit and maintain required representations and certifications for federal procurement.
  • D. Orka
    Orka is a super-strong, whale-themed Marvel Comics villain and occasional antihero who has served on teams like the Heroes for Hire.
  • E. Orca
    The orca, also known as the killer whale, is a highly intelligent, social, and powerful oceanic apex predator found in oceans worldwide.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abbd84881908af91bb7c9784026 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.