Triple

T30629175
Position Surface form Disambiguated ID Type / Status
Subject MMT E779665 entity
Predicate offsetFromPST P170774 FINISHED
Object +14:30 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: +14:30 | Statement: [MMT, offsetFromPST, +14:30]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetFromPST
Context triple: [MMT, offsetFromPST, +14:30]
  • A. offsetFromAlaskaStandardTime
    Indicates the time difference between a given time value and Alaska Standard Time (AST), typically expressed as an offset in hours or minutes.
  • B. offsetFromAtlanticStandardTime
    Indicates the time difference, in hours or minutes, between a given time reference and Atlantic Standard Time.
  • C. offsetFromUTC
    Indicates the time difference between a given time value and Coordinated Universal Time (UTC), typically expressed as an offset in hours and/or minutes.
  • D. offsetFromHawaiiStandardTime
    Indicates the time difference between a given time value and Hawaii Standard Time (HST), typically expressed as an offset in hours or minutes.
  • E. offsetFromStandardTime
    Indicates the time difference between a given local time and the corresponding standard time for that location.
  • F. None of above. chosen

Provenance (4 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_69f695f9fe7c819084322bf6cdc70a13 completed May 3, 2026, 12:25 a.m.
PD Predicate disambiguation batch_69f690ed5d008190831cf8e44cce28af completed May 3, 2026, 12:03 a.m.
PDg Predicate description generation batch_69f695385a2881908cc28ef97fffc867 completed May 3, 2026, 12:22 a.m.
Created at: April 29, 2026, 8:28 p.m.