Triple

T635939
Position Surface form Disambiguated ID Type / Status
Subject Tennoji Station E16620 entity
Predicate locatedInTimeZone P109 FINISHED
Object Japan Standard Time E2133 NE 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: Japan Standard Time | Statement: [Tennoji Station, locatedInTimeZone, Japan Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Standard Time
Context triple: [Tennoji Station, locatedInTimeZone, Japan Standard Time]
  • A. Japan Standard Time chosen
    Japan Standard Time is the standard time zone used throughout Japan, set at nine hours ahead of Coordinated Universal Time (UTC+9) without daylight saving time.
  • B. Korea Standard Time
    Korea Standard Time is the time zone used on the Korean Peninsula, set at UTC+9 hours.
  • C. Hawaii–Aleutian Standard Time
    Hawaii–Aleutian Standard Time is the time zone used by Hawaii and part of the Aleutian Islands, typically 10 hours behind Coordinated Universal Time (UTC−10:00).
  • D. China Standard Time
    China Standard Time is the single official time zone used throughout mainland China, corresponding to UTC+8.
  • E. Indochina Time
    Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ef25ffc81908517310fe0c84a68 completed March 2, 2026, 11:05 a.m.
Created at: March 1, 2026, 7:35 p.m.