Triple

T20902144
Position Surface form Disambiguated ID Type / Status
Subject National War Museum (planned nearby) E514697 entity
Predicate plannedAudience P10804 FINISHED
Object general public 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: general public | Statement: [National War Museum (planned nearby), plannedAudience, general public]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: plannedAudience
Context triple: [National War Museum (planned nearby), plannedAudience, general public]
  • A. typicalAudience chosen
    Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
  • B. relatesToAudience
    Indicates a general relationship or relevance between something and a particular audience or group of recipients.
  • C. audienceComposition
    Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
  • D. resultForAudience
    Indicates that something is produced or presented specifically to achieve an effect or outcome for a particular audience.
  • E. secondaryAudience
    Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fc5d488190b62f51c35e768d38 completed April 21, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e5c9ac91108190a6700fcdf2f11890 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:47 p.m.