Triple

T3762290
Position Surface form Disambiguated ID Type / Status
Subject M62 E82189 entity
Predicate isTransPennineRoute P50803 FINISHED
Object true 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: true | Statement: [M62, isTransPennineRoute, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTransPennineRoute
Context triple: [M62, isTransPennineRoute, true]
  • A. isPublicTransportRoute
    Indicates that a given route is designated and operated as part of a public transportation system available for general use.
  • B. hasPiccadillyPlatformsBetween
    Indicates that one station has Piccadilly line platforms located between it and another station along the route.
  • C. isPublicTransportBackboneOf
    Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
  • D. hasNationalRailPlatforms
    Indicates that an entity possesses one or more platforms used by the national rail network for train services.
  • E. isOnEastWestTrunkLine
    Indicates that something is located on, or directly aligned with, a primary east–west transportation or utility trunk line.
  • F. None of above. chosen

Provenance (4 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfa44ac819082f2c895d96c9170 completed March 8, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69adc04c851c8190ae5eaebf36df539b completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc0fe3e3c8190bd886c7745c172a0 completed March 8, 2026, 6:33 p.m.
Created at: March 8, 2026, 3:35 p.m.