Triple

T12780843
Position Surface form Disambiguated ID Type / Status
Subject Exeter Library E305501 entity
Predicate hasCentralAtrium P6080 FINISHED
Object yes 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: yes | Statement: [Exeter Library, hasCentralAtrium, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCentralAtrium
Context triple: [Exeter Library, hasCentralAtrium, yes]
  • A. hasCentralAreaUse
    Indicates that an entity’s central area is used or designated for a particular function or purpose.
  • B. isMainBuildingOf
    Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
  • C. hasStationHall
    Indicates that one entity (typically a station) includes or is associated with a station hall area as part of its structure or facilities.
  • D. hasCentralReservation
    Indicates that a road or carriageway includes a central reservation (median) separating opposing directions of traffic.
  • E. hasMainHall chosen
    Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69d9640ba0688190973e4e7ec8d4a8e0 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:29 p.m.