Triple

T8846576
Position Surface form Disambiguated ID Type / Status
Subject Toyohira-ku, Sapporo E210519 entity
Predicate timezone 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: [Toyohira-ku, Sapporo, timezone, Japan Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Standard Time
Context triple: [Toyohira-ku, Sapporo, timezone, 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. Sakhalin Time
    Sakhalin Time is the time zone used on Russia’s Sakhalin Island, corresponding to UTC+11 hours.
  • C. Korea Standard Time
    Korea Standard Time is the time zone used on the Korean Peninsula, set at UTC+9 hours.
  • D. 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).
  • E. tzcode
    tzcode is the reference implementation of the time zone database, providing libraries and tools for handling time zone conversions and daylight saving time rules on Unix-like systems.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a7c518819095399976148e1b9a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89bd3ef48190a6a2efff18db4dbd completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.