Triple

T24919629
Position Surface form Disambiguated ID Type / Status
Subject Grande École Programme (Master in Management) E624084 entity
Predicate hasCampusOption P116 FINISHED
Object Singapore campus 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: Singapore campus | Statement: [Grande École Programme (Master in Management), hasCampusOption, Singapore campus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCampusOption
Context triple: [Grande École Programme (Master in Management), hasCampusOption, Singapore campus]
  • A. hasCampusState
    Indicates that an institution’s campus is located within a specified state or state-level administrative region.
  • B. hasAdditionalCampus chosen
    Indicates that an educational institution maintains one or more campuses in addition to its primary or main campus.
  • C. hasCollegeCampus
    Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
  • D. hasOnlineCampus
    Indicates that an institution or organization offers a campus or learning environment that is accessible via the internet.
  • E. hasSurfaceCampus
    Indicates that one entity (typically an institution) maintains a physical campus or site located on the surface of another entity (such as a planet or celestial body).
  • 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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
Created at: April 18, 2026, 5:28 a.m.