Triple

T27928
Position Surface form Disambiguated ID Type / Status
Subject Chile Standard Time E558 entity
Predicate offsetHours P712 FINISHED
Object -4 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: -4 | Statement: [Chile Standard Time, offsetHours, -4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetHours
Context triple: [Chile Standard Time, offsetHours, -4]
  • A. UTCOffsetDaylightSavingTime
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • B. typicalOffsetFromPacificTime
    Indicates the usual time difference between a given time zone and Pacific Time (PT), without accounting for temporary variations like daylight saving changes.
  • C. typicalOffsetFromCentralTime
    Indicates the usual time difference between a given time zone and Central Time (CT), expressed as an offset in hours or minutes.
  • D. UTCOffsetStandardTime chosen
    Indicates the time difference, in hours and minutes, that a location’s standard (non-daylight-saving) local time has from Coordinated Universal Time (UTC).
  • E. adjacentTimeZoneEast
    Indicates that one time zone is directly to the east of another, sharing a common boundary without any intervening time zones.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24925607c8190a9ce7ec834f3e5bb completed Feb. 28, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69a2486bd74c81908d32be3c7d22f51f completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.