Triple

T14826796
Position Surface form Disambiguated ID Type / Status
Subject Willow Tree E348595 entity
Predicate utcOffset_DST P713 FINISHED
Object +11 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: +11 | Statement: [Willow Tree, utcOffset_DST, +11]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: utcOffset_DST
Context triple: [Willow Tree, utcOffset_DST, +11]
  • A. UTCOffsetDaylightSavingTime chosen
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • B. utcOffsetDescription
    Indicates the textual description of how far a time zone’s local time differs from Coordinated Universal Time (UTC), often including details like hours, minutes, and daylight saving adjustments.
  • C. UTCOffsetStandardTime
    Indicates the time difference, in hours and minutes, that a location’s standard (non-daylight-saving) local time has from Coordinated Universal Time (UTC).
  • D. DSTAlternativePreviouslyUsedUTCOffset
    Indicates that a daylight saving time alternative has, at some point in the past, used a specific UTC offset.
  • E. DSTOffsetType
    Indicates the relationship between a time reference and the amount of time it is shifted from standard time due to daylight saving time adjustments.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0713700819097bbb0352650984b completed April 14, 2026, 11:40 p.m.
PD Predicate disambiguation batch_69de8c13418c819088ff9905ace1416a completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:51 a.m.