Triple

T26266863
Position Surface form Disambiguated ID Type / Status
Subject Halle belfry E657005 entity
Predicate isInUNESCOLocation P99713 FINISHED
Object Belgium NE NERFINISHED

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: Belgium | Statement: [Halle belfry, isInUNESCOLocation, Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInUNESCOLocation
Context triple: [Halle belfry, isInUNESCOLocation, Belgium]
  • A. isInEducationalSystemOf
    Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
  • B. isInEducationalInstitution
    Indicates that one entity is located within, enrolled in, or otherwise present at an educational institution in relation to another.
  • C. onUNESCOLocationList chosen
    Indicates that a location is officially included on a UNESCO-designated list, such as the World Heritage List, recognizing its cultural or natural significance.
  • D. schoolBelongsTo
    Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative entity.
  • E. isSchoolFor
    Indicates that one entity functions as an educational institution intended to serve, teach, or train the other entity.
  • 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_69ee5b4e21bc819082be98bc9ab09796 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f60e05bb848190ab9fc8e5e678ad31 completed May 2, 2026, 2:45 p.m.
PD Predicate disambiguation batch_69f5f7ff548c8190a23e98c5e66e0bc7 completed May 2, 2026, 1:11 p.m.
Created at: April 26, 2026, 9:11 p.m.