Triple

T27782633
Position Surface form Disambiguated ID Type / Status
Subject Texaco gas station (Hill Valley) E699373 entity
Predicate showsTechnologicalChange P37902 FINISHED
Object full-service station in 1955 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: full-service station in 1955 | Statement: [Texaco gas station (Hill Valley), showsTechnologicalChange, full-service station in 1955]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showsTechnologicalChange
Context triple: [Texaco gas station (Hill Valley), showsTechnologicalChange, full-service station in 1955]
  • A. technologyTransition chosen
    Indicates a change in the primary technology, method, or system used from one technological state or solution to another.
  • B. technologyEffect
    Indicates the impact or influence that a particular technology has on another entity, system, or outcome.
  • C. technologyParadigm
    Indicates a relationship where one entity represents or defines the overarching technological model, framework, or approach within which another entity operates or is categorized.
  • D. technologyPioneered
    Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
  • E. influencedTechnology
    Indicates that one entity has had a causal or shaping impact on the development, design, or use of a technological 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c2198208190a3954086c22cfcbf completed May 2, 2026, 8:18 p.m.
Created at: April 27, 2026, 5:11 p.m.