Triple

T22638871
Position Surface form Disambiguated ID Type / Status
Subject Victoria Street railway station E558763 entity
Predicate fareSystem P395 FINISHED
Object Opal 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: Opal | Statement: [Victoria Street railway station, fareSystem, Opal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opal
Context triple: [Victoria Street railway station, fareSystem, Opal]
  • A. Opal
    Opal is a precious gemstone renowned for its vibrant play-of-color and is especially associated with major deposits in Australia.
  • B. Opal chosen
    Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
  • C. Opal
    Opal is a tall, four-armed fusion Gem in *Steven Universe* known for her calm demeanor, archery skills, and combination of Pearl and Amethyst’s personalities and abilities.
  • D. Topaz
    Topaz is a silicate mineral gemstone prized for its clarity and range of colors, commonly used in jewelry and often linked to themes of strength and protection.
  • E. Topaz
    Topaz is a 1969 Cold War espionage thriller film directed by Alfred Hitchcock, based on the novel by Leon Uris.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700f9fac8190b82190a54be22413 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.