Triple

T25144768
Position Surface form Disambiguated ID Type / Status
Subject Queens Road tram stop E629902 entity
Predicate carParkOperator P49833 FINISHED
Object Metrolink 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: Metrolink | Statement: [Queens Road tram stop, carParkOperator, Metrolink]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: carParkOperator
Context triple: [Queens Road tram stop, carParkOperator, Metrolink]
  • A. hasStationCarParkOperator chosen
    Indicates that a particular station’s car park is operated or managed by a specified operator.
  • B. parkSystem
    Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
  • C. hasParkOperator
    Indicates that a park is operated or managed by a specific organization or individual.
  • D. parkServed
    Indicates that a particular park is provided with services or coverage by a specified entity (such as a transit line, facility, or administrative body).
  • E. servicePark
    Indicates that one entity serves as a designated area or facility where vehicles or equipment are parked, maintained, or serviced in relation to another entity.
  • F. None of above.

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_69e2ff349e408190a6f4a5a66279f54d completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4684b30a8819088fb9f78020c3e1a completed May 1, 2026, 8:46 a.m.
PD Predicate disambiguation batch_69f44d8043b081908bbffd7f044b4f26 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 6:29 a.m.