Triple

T6793436
Position Surface form Disambiguated ID Type / Status
Subject Sandal Castle E155991 entity
Predicate hasInterpretivePanels P34567 FINISHED
Object true 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: true | Statement: [Sandal Castle, hasInterpretivePanels, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInterpretivePanels
Context triple: [Sandal Castle, hasInterpretivePanels, true]
  • A. hasInterpretiveExhibits chosen
    Indicates that an entity includes or provides exhibits designed to explain, interpret, or contextualize information for viewers.
  • B. hasInteractiveExhibits
    Indicates that something contains exhibits designed for active participation or engagement by the audience.
  • C. hasInterpretiveCenters
    Indicates that an entity possesses or is associated with one or more interpretive centers that provide information, explanation, or context about it.
  • D. hasInterpretiveService
    Indicates that an entity provides or is associated with interpretive services (such as translation, sign language, or explanatory guidance) for another entity or context.
  • E. hasInterpretiveStaff
    Indicates that an entity provides personnel whose role is to explain, interpret, or facilitate understanding of its content, activities, or environment for others.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2af6f908190809e39b73894e513 completed March 27, 2026, 6:55 p.m.
PD Predicate disambiguation batch_69c6d0979ce0819094678896da4e3169 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:15 p.m.