Triple

T20066688
Position Surface form Disambiguated ID Type / Status
Subject Greater Tehran E499624 entity
Predicate daylightSavingTimeZone P109 FINISHED
Object Iran Daylight Time NE NERFINISHED

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: Iran Daylight Time | Statement: [Greater Tehran, daylightSavingTimeZone, Iran Daylight Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iran Daylight Time
Context triple: [Greater Tehran, daylightSavingTimeZone, Iran Daylight Time]
  • A. Iran Daylight Time chosen
    Iran Daylight Time is the daylight saving time observed in Iran, advancing clocks one hour ahead of the country’s standard time during the summer months.
  • B. Iran Standard Time
    Iran Standard Time is the time zone used throughout Iran, set at UTC+3:30 and observed in cities such as Tehran.
  • C. Israel Daylight Time
    Israel Daylight Time is the daylight saving time observed in Israel, typically used during the summer months when clocks are set one hour ahead of standard time.
  • D. Afghanistan Time
    Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
  • E. Samara Time
    Samara Time is a time zone used in parts of Russia, including the Samara region, that is three hours ahead of Coordinated Universal Time (UTC+3).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66379f2cc81908f13a7b216878f12 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.