Triple

T10229047
Position Surface form Disambiguated ID Type / Status
Subject Shanghai National Exhibition and Convention Center (adjacent area influence) E243292 entity
Predicate drivingFunction P24726 FINISHED
Object large-scale trade fairs 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: large-scale trade fairs | Statement: [Shanghai National Exhibition and Convention Center (adjacent area influence), drivingFunction, large-scale trade fairs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drivingFunction
Context triple: [Shanghai National Exhibition and Convention Center (adjacent area influence), drivingFunction, large-scale trade fairs]
  • A. drivingCode
    Indicates that one entity is the driving or causal code responsible for initiating, controlling, or determining the behavior or outcome of another entity.
  • B. drivingForce chosen
    Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
  • C. drivesOn
    Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
  • D. drives
    Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
  • E. driveAssistFeature
    Indicates that one entity provides an assistance feature that helps another entity perform driving-related tasks.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69d4d1e9798c8190b437d53d48554ba1 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:18 a.m.