Triple

T29748226
Position Surface form Disambiguated ID Type / Status
Subject Vaucanson (north terminus) E752816 entity
Predicate hasLineTerminusRole P107885 FINISHED
Object end-of-line station 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: end-of-line station | Statement: [Vaucanson (north terminus), hasLineTerminusRole, end-of-line station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLineTerminusRole
Context triple: [Vaucanson (north terminus), hasLineTerminusRole, end-of-line station]
  • A. hasLineRole
    Indicates that an entity participates in a line (such as a queue, route, or sequence) with a specific functional role or position within that line.
  • B. hasTerminusRole chosen
    Indicates that an entity participates in something specifically in the capacity of a terminus or endpoint role.
  • C. lineTerminusFor
    Indicates that one entity serves as an endpoint or terminus of a particular line or linear feature represented by another entity.
  • D. lineTerminusForSomeServices
    Indicates that a location serves as the endpoint or terminus for at least some, but not necessarily all, of the services operating on a given line.
  • E. hasLineCharacter
    Indicates that one entity possesses or includes a specific character or symbol that appears within a line of text or sequence.
  • 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_69f0d62c84cc8190846f80ae04fdf8ec completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: April 28, 2026, 7:52 p.m.