Triple

T18807747
Position Surface form Disambiguated ID Type / Status
Subject Field E459922 entity
Predicate hasAudienceExperience P5308 FINISHED
Object walking along edge of massed figures 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: walking along edge of massed figures | Statement: [Field, hasAudienceExperience, walking along edge of massed figures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAudienceExperience
Context triple: [Field, hasAudienceExperience, walking along edge of massed figures]
  • A. hasAudienceReception
    Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
  • B. hasTypeOfVisitorExperience chosen
    Indicates that an entity is associated with a particular category or kind of visitor experience it provides or involves.
  • C. hasAudience
    Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
  • D. hasAudienceParticipation
    Indicates that an event, performance, or activity involves direct participation or interaction from the audience.
  • E. hasAudienceLevel
    Indicates that something is intended for, suitable for, or targeted at an audience with a specific level of knowledge, experience, or proficiency.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d8ab9c819097834eac798ce810 completed April 20, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e48d1b10ec8190985c6fb5766ff981 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:53 a.m.