Triple

T18327622
Position Surface form Disambiguated ID Type / Status
Subject Metford railway station E439052 entity
Predicate fareZoneSystem P395 FINISHED
Object Opal network 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 network | Statement: [Metford railway station, fareZoneSystem, Opal network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opal network
Context triple: [Metford railway station, fareZoneSystem, Opal network]
  • A. Opal network chosen
    The Opal network is an integrated electronic ticketing system used across public transport services in New South Wales, Australia.
  • B. OPAL
    OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
  • C. OPAL
    OPAL is the abbreviation for the American Society of Civil Engineers' prestigious Outstanding Projects and Leaders Award, which honors exceptional achievements and leadership in civil engineering.
  • D. Aurora Network
    Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
  • E. POA Network
    POA Network is an Ethereum-based sidechain platform that uses a proof-of-authority consensus model to provide fast, low-cost smart contract execution.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aac14488190840b9c22209f13d1 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.