Triple

T7984132
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong Time E185646 entity
Predicate isSynchronizedWith P25707 FINISHED
Object China Standard Time 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: China Standard Time | Statement: [Hong Kong Time, isSynchronizedWith, China Standard Time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSynchronizedWith
Context triple: [Hong Kong Time, isSynchronizedWith, China Standard Time]
  • A. synchronizesWith chosen
    Indicates that two or more entities coordinate their states or activities so that they occur in step or remain temporally consistent with each other.
  • B. isSelfSynchronizing
    Indicates that a process, system, or component can automatically align its timing or state with others without requiring external coordination or control.
  • C. dataSyncedTo
    Indicates that a set of data has been successfully synchronized from one system or location to another, reflecting the same state or contents.
  • D. isSynchronous
    Indicates that two or more processes, events, or actions occur at the same time or in a coordinated, lockstep manner.
  • E. canSyncVia
    Indicates that one entity is able to synchronize data or state with another entity using a specified method or channel.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2b543c81909b82bc478d579e0b completed March 31, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69cb048009a08190b4c577208a9f8f76 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:15 p.m.