Triple

T14185663
Position Surface form Disambiguated ID Type / Status
Subject De Akkers E351567 entity
Predicate servesAsTerminus P388 FINISHED
Object yes 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: yes | Statement: [De Akkers, servesAsTerminus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesAsTerminus
Context triple: [De Akkers, servesAsTerminus, yes]
  • A. locatedAtTerminusOf
    Indicates that one entity is situated at the end point or final terminus of another entity, such as a route, line, or path.
  • B. hasTerminusRole
    Indicates that an entity participates in something specifically in the capacity of a terminus or endpoint role.
  • C. formerTerminusFor
    Indicates that a location once served as the endpoint or final stop of a route, line, or service, but no longer holds that status.
  • D. terminus chosen
    Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
  • E. hasTerminusIn
    Indicates that something (such as a route, line, or path) ends or has its final stopping point at a specified location.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:03 a.m.