Triple

T613085
Position Surface form Disambiguated ID Type / Status
Subject Samoa Time Zone E12141 entity
Predicate legalStatusInUS P14939 FINISHED
Object recognized United States time zone 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: recognized United States time zone | Statement: [Samoa Time Zone, legalStatusInUS, recognized United States time zone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInUS
Context triple: [Samoa Time Zone, legalStatusInUS, recognized United States time zone]
  • A. legalStatusInManyCountries
    Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
  • B. statusInUnitedStates chosen
    Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
  • C. hasLegalStatus
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • D. legalStatusClarifiedBy
    Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
  • E. legalStatusModern
    Indicates the current legal standing or classification of an entity under contemporary law or regulatory frameworks.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69a49cfbcbf88190a854921dc531eba8 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.