Triple

T3938787
Position Surface form Disambiguated ID Type / Status
Subject America/Managua E90980 entity
Predicate currentDSTPolicy P4879 FINISHED
Object no DST observed in recent years 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: no DST observed in recent years | Statement: [America/Managua, currentDSTPolicy, no DST observed in recent years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentDSTPolicy
Context triple: [America/Managua, currentDSTPolicy, no DST observed in recent years]
  • A. DSTPolicy chosen
    Indicates a relationship where a timekeeping system follows a specific daylight saving time policy, defining how and when clocks are adjusted seasonally.
  • B. DSTTimeZone
    Indicates that a time-related entity operates under a daylight saving time rule or belongs to a time zone that observes daylight saving time adjustments.
  • C. DSTseason
    Indicates that the relationship specifies the daylight saving time (DST) period or season during which a time-related event or setting is in effect.
  • D. DSTobserved
    Indicates that daylight saving time is in effect or being observed for a given time, date, or location.
  • E. observesDSTOffset
    Indicates that one entity follows or applies a specific daylight saving time (DST) offset in its timekeeping or scheduling.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfb12b88190a6ca6574b1aadb6e completed March 9, 2026, 3:57 p.m.
PD Predicate disambiguation batch_69aee7625ad4819097e4e8a168c19274 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:24 p.m.