Triple

T19450916
Position Surface form Disambiguated ID Type / Status
Subject Caffè Macs cafeteria E486610 entity
Predicate isOnSiteFacilityFor P117088 FINISHED
Object Apple Infinite Loop employees 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: Apple Infinite Loop employees | Statement: [Caffè Macs cafeteria, isOnSiteFacilityFor, Apple Infinite Loop employees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOnSiteFacilityFor
Context triple: [Caffè Macs cafeteria, isOnSiteFacilityFor, Apple Infinite Loop employees]
  • A. isWithinFacility
    Indicates that one entity is physically located inside the boundaries or premises of a specified facility.
  • B. basedOnFacility
    Indicates that something is determined, derived, or decided according to the characteristics, rules, or conditions of a particular facility.
  • C. ownsFacilityOn
    Indicates that one entity possesses ownership or control over a facility located on or associated with another entity (such as a site, property, or area).
  • D. appliesToFacility
    Indicates that something (such as a rule, policy, condition, or attribute) is relevant to, valid for, or in effect at a particular facility.
  • E. hasFacilityLocation chosen
    Indicates that an entity possesses or is associated with a facility situated at a specific location.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338db7c081908793f23592ebef6b completed April 20, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e4fd7499a4819082bec0be8afba35c completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:38 p.m.