Triple

T14686867
Position Surface form Disambiguated ID Type / Status
Subject Ingleburn railway station E344929 entity
Predicate hasTicketingSystem P3383 FINISHED
Object Opal E429019 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: Opal | Statement: [Ingleburn railway station, hasTicketingSystem, Opal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opal
Context triple: [Ingleburn railway station, hasTicketingSystem, Opal]
  • A. Opal chosen
    Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
  • B. Opal
    Opal is a precious gemstone renowned for its vibrant play-of-color and is especially associated with major deposits in Australia.
  • C. 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.
  • D. Topaz
    Topaz is a 1969 Cold War espionage thriller film directed by Alfred Hitchcock, based on the novel by Leon Uris.
  • E. Sunstone
    Sunstone is a renowned long-form poem by Mexican Nobel laureate Octavio Paz, celebrated for its circular structure and rich exploration of time, love, and existential reflection.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58306548190b981956a83a84b95 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde1876fdc81908a4fe3deebb7ff83 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.