Triple

T16687645
Position Surface form Disambiguated ID Type / Status
Subject Committee Room 28 E405505 entity
Predicate mayBeAccessibleTo P21488 FINISHED
Object public observers 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: public observers | Statement: [Committee Room 28, mayBeAccessibleTo, public observers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeAccessibleTo
Context triple: [Committee Room 28, mayBeAccessibleTo, public observers]
  • A. areAccessibleAt
    Indicates that certain entities can be reached, used, or entered at a specified location, time, or context.
  • B. accessibleFrom
    Indicates that one entity can be reached, entered, or used starting from another entity, typically without obstruction.
  • C. isAccessible chosen
    Indicates that one entity can be reached, used, or entered by another entity without obstruction or restriction.
  • D. accessibleAs
    Indicates that one entity can be reached, used, or obtained through another entity, often as an alternative form, route, or representation.
  • E. alsoAccessibleFrom
    Indicates that a location, resource, or entity can be reached or obtained not only from one specified source or path but from an additional source or path as well.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea75df481909a7ebb9b2a9d0afd completed April 18, 2026, 12:52 p.m.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.