Triple

T31856242
Position Surface form Disambiguated ID Type / Status
Subject Pieve a Nievole E813204 entity
Predicate timeZoneUtcOffsetDST P713 FINISHED
Object +02:00 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: +02:00 | Statement: [Pieve a Nievole, timeZoneUtcOffsetDST, +02:00]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeZoneUtcOffsetDST
Context triple: [Pieve a Nievole, timeZoneUtcOffsetDST, +02:00]
  • A. timeZoneOriginDST
    Indicates that the relationship specifies the original time zone of an entity, including whether daylight saving time (DST) is in effect.
  • B. 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.
  • C. UTCOffsetDaylightSavingTime chosen
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • D. timeZoneOffsetDestination
    Indicates the time difference (offset from a reference time, typically UTC) that applies to the destination location in a temporal or travel-related context.
  • E. locatedInTimeZoneUTCOffsetDST
    Indicates that an entity exists or operates in a time zone that observes daylight saving time with a specified UTC offset during that DST period.
  • 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_69f348ebf32881908d9439646933dc76 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b21e7e088190832a3db585daea1c completed May 3, 2026, 2:25 a.m.
PD Predicate disambiguation batch_69f6b14faf608190a25b977c0740729c completed May 3, 2026, 2:22 a.m.
Created at: April 30, 2026, 11:52 p.m.