Triple

T11378792
Position Surface form Disambiguated ID Type / Status
Subject Pallatanga E269536 entity
Predicate locatedInTimeZone P109 FINISHED
Object Ecuador Time E50453 NE 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: Ecuador Time | Statement: [Pallatanga, locatedInTimeZone, Ecuador Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ecuador Time
Context triple: [Pallatanga, locatedInTimeZone, Ecuador Time]
  • A. Ecuador Time chosen
    Ecuador Time is the standard time zone used in mainland Ecuador, including cities such as Guayaquil, typically corresponding to UTC−05:00.
  • B. Peru Time
    Peru Time is the standard time zone used throughout Peru, corresponding to UTC−05:00 without daylight saving time.
  • C. Bolivia Time
    Bolivia Time is the standard time zone used throughout Bolivia, corresponding to UTC−4 with no daylight saving time.
  • D. Venezuelan Standard Time
    Venezuelan Standard Time is the time zone used throughout Venezuela, corresponding to UTC−4 hours.
  • E. Paraguay Summer Time
    Paraguay Summer Time is the daylight saving time zone used in Paraguay, set one hour ahead of its standard time to align with neighboring regional schedules.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8025744819091312adddeb75347 completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:33 p.m.