Triple

T1629481
Position Surface form Disambiguated ID Type / Status
Subject Cantonese opera E35223 entity
Predicate hasPreservationEffort P25140 FINISHED
Object training schools in Hong Kong 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: training schools in Hong Kong | Statement: [Cantonese opera, hasPreservationEffort, training schools in Hong Kong]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPreservationEffort
Context triple: [Cantonese opera, hasPreservationEffort, training schools in Hong Kong]
  • A. aimsToPreserve
    Indicates an intention or effort by one entity to maintain, protect, or keep another entity in its current or desired state.
  • B. preservationFactor
    Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
  • C. preservationMethod
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • D. stateOfPreservation
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • E. hasConservationMeasure chosen
    Indicates that a specific conservation action, policy, or measure is applied to or associated with an entity to protect or manage it.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9431af5ac8190893133f1ae490142 completed March 5, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69a907c91c888190b6ed295c1a2e0977 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.