Triple

T11508851
Position Surface form Disambiguated ID Type / Status
Subject One Regional Card for All E272856 entity
Predicate acronym P43 FINISHED
Object ORCA E211950 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: ORCA | Statement: [One Regional Card for All, acronym, ORCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORCA
Context triple: [One Regional Card for All, acronym, 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 is a 1977 horror-thriller film about a vengeful killer whale that targets the fisherman who killed its mate.
  • D. Tokitae (orca)
    Tokitae (also known as Lolita) was a captive female orca who lived for decades at the Miami Seaquarium and became a prominent symbol in debates over marine mammal captivity and welfare.
  • E. Orcines
    Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db65eb081908613a1002c6a4fb4 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624f5c9608190bde28a59860b3c93 completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.