Triple

T33494546
Position Surface form Disambiguated ID Type / Status
Subject Singapore Chinese Girls' School E857830 entity
Predicate hasCca P176673 FINISHED
Object choir 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: choir | Statement: [Singapore Chinese Girls' School, hasCca, choir]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCca
Context triple: [Singapore Chinese Girls' School, hasCca, choir]
  • A. hasCcf
    Indicates that one entity possesses, is associated with, or is characterized by a specific CCF (the exact nature of which is defined elsewhere in the model or ontology).
  • B. hasCP
    Indicates that an entity possesses, is associated with, or is characterized by a specific CP (such as a control point, contact person, or configuration parameter), depending on the domain context.
  • C. hasSchoolCategory
    Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
  • D. hasSchoolsAccess
    Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
  • E. hasCAS
    Indicates that an entity is associated with a specific Chemical Abstracts Service (CAS) registry number identifying it as a distinct chemical substance.
  • F. None of above. chosen

Provenance (4 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_69f3497660508190a541826a81f7e9ab completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e56a6a488190aaf731ce3d097505 completed May 3, 2026, 6:04 a.m.
PD Predicate disambiguation batch_69f6e3db74c081909a991309d835d477 completed May 3, 2026, 5:57 a.m.
PDg Predicate description generation batch_69f6e4a260808190b4aca0b988f3e593 completed May 3, 2026, 6:01 a.m.
Created at: May 1, 2026, 1:38 a.m.