Triple

T6546641
Position Surface form Disambiguated ID Type / Status
Subject Russell Square station E151024 entity
Predicate locatedInTravelDirectionBetween P68000 FINISHED
Object Holborn and King's Cross St Pancras on Piccadilly line LITERAL 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: Holborn and King's Cross St Pancras on Piccadilly line | Statement: [Russell Square station, locatedInTravelDirectionBetween, Holborn and King's Cross St Pancras on Piccadilly line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInTravelDirectionBetween
Context triple: [Russell Square station, locatedInTravelDirectionBetween, Holborn and King's Cross St Pancras on Piccadilly line]
  • A. locatedBetween
    Indicates that one entity is positioned spatially between two other reference entities.
  • B. locatedBetweenStreets
    Indicates that something is situated between two specified streets, with its position bounded or defined by those streets.
  • C. locatedOnRouteTo chosen
    Indicates that one entity lies along the path or course taken when traveling from a starting point to a specified destination.
  • D. commutesBetween
    Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
  • E. routeBetween
    Indicates that there exists a path or connection enabling travel or communication between two locations or points.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce07332481909a5a7964282eb776 completed March 27, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69c6acf3e3708190b052ec774e607cb7 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:50 p.m.