Triple

T34521490
Position Surface form Disambiguated ID Type / Status
Subject Arctic Service Ribbon E886289 entity
Predicate isLocationSpecific P175565 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: [Arctic Service Ribbon, isLocationSpecific, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLocationSpecific
Context triple: [Arctic Service Ribbon, isLocationSpecific, yes]
  • A. isGeographicallySpecific chosen
    Indicates that something is limited to or uniquely associated with a particular geographic location or area.
  • B. isSiteSpecific
    Indicates that something is designed, intended, or valid only for a particular location, context, or site and does not generally apply elsewhere.
  • C. hasLocationRole
    Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
  • D. supportsLocation
    Indicates that one entity provides the necessary structure, foundation, or capacity to hold, host, or accommodate another entity at a particular place or position.
  • E. likelyLocatedIn
    Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
  • 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_69f349ccc290819089d8e82698e53cb6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7bbf906d8819099020e548dd56bc9 completed May 3, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69f7b9a2dcf88190a7c9e109e41267be completed May 3, 2026, 9:09 p.m.
Created at: May 1, 2026, 2:02 a.m.