Triple

T8554179
Position Surface form Disambiguated ID Type / Status
Subject Europe/Amsterdam E202521 entity
Predicate historicalUTCOffset P1832 FINISHED
Object +00:20:00 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: +00:20:00 | Statement: [Europe/Amsterdam, historicalUTCOffset, +00:20:00]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalUTCOffset
Context triple: [Europe/Amsterdam, historicalUTCOffset, +00:20:00]
  • A. previousUTCOffset
    Indicates the UTC time offset that applied to an entity (such as a timezone or location) immediately before the current or given offset.
  • B. timeZoneHistorical chosen
    Indicates that there is a historical time zone relationship, specifying how an entity’s time zone (including offsets, rules, or changes) applied during past periods.
  • C. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • D. UTCOffsetDaylightSavingTime
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • E. usesUTCOffset
    Indicates that one entity applies or relies on the specified UTC time offset for timekeeping or timestamp interpretation.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8894e7c8190bc0ae2ceec473ecb completed March 31, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69cbd1160fcc8190aa380a73610af731 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:19 p.m.