Triple

T12984227
Position Surface form Disambiguated ID Type / Status
Subject World Heritage Sites in France E321726 entity
Predicate hasCriteriaType P4187 FINISHED
Object cultural 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: cultural | Statement: [World Heritage Sites in France, hasCriteriaType, cultural]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCriteriaType
Context triple: [World Heritage Sites in France, hasCriteriaType, cultural]
  • A. hasCriterionType chosen
    Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
  • B. hasQualityCriterion
    Indicates that something is associated with a specific standard or criterion used to judge its quality.
  • C. hasMemberCriteria
    Indicates that a group, collection, or set is defined or constrained by specific criteria that its members must satisfy.
  • D. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • E. hasStandardType
    Indicates that something conforms to or is categorized under a defined standard classification or type.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69d97dbdd94c8190ac4bbecca02dc77b completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:40 p.m.