Triple

T204944
Position Surface form Disambiguated ID Type / Status
Subject Luis Muñoz Marín International Airport E4590 entity
Predicate usesUTCOffset P10251 FINISHED
Object UTC−04:00 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: UTC−04:00 | Statement: [Luis Muñoz Marín International Airport, usesUTCOffset, UTC−04:00]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesUTCOffset
Context triple: [Luis Muñoz Marín International Airport, usesUTCOffset, UTC−04:00]
  • A. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • B. previousUTCOffset
    Indicates the UTC time offset that applied to an entity (such as a timezone or location) immediately before the current or given offset.
  • C. isFixedOffsetFromUTC
    Indicates that one time-related entity consistently differs from Coordinated Universal Time (UTC) by a specific, unchanging offset.
  • D. UTCOffsetDaylightSavingTime
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • E. offsetFromUTCInMinutes
    Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25f46b4f081909e5ee3718109a71f completed Feb. 28, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69a25b4b42ec8190bef16bbbdd30a742 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25f4602c081909e89de233cbc5670 completed Feb. 28, 2026, 3:21 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.