Triple

T30629149
Position Surface form Disambiguated ID Type / Status
Subject MMT E779665 entity
Predicate UTCOffsetMinutes P5579 FINISHED
Object 390 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: 390 | Statement: [MMT, UTCOffsetMinutes, 390]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: UTCOffsetMinutes
Context triple: [MMT, UTCOffsetMinutes, 390]
  • A. UTCOffsetDaylightSavingTime
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • B. offsetFromUTCInMinutes chosen
    Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
  • C. timeOffsetInHours
    Indicates the temporal difference between two time points or events, measured in hours.
  • D. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • E. UTCoffsetComparison
    Indicates a comparison between the time zone UTC offsets of two entities, specifying how their local times differ relative to Coordinated Universal Time.
  • 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_69f224a431548190a44ad9d088dbf91f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a1c41ec81909d892e7f364f1c5b completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f67e448a9c8190b591374d98799fe3 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:28 p.m.