Triple

T796852
Position Surface form Disambiguated ID Type / Status
Subject Dubai Metro E17040 entity
Predicate timezone P109 FINISHED
Object Gulf Standard Time E17034 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: Gulf Standard Time | Statement: [Dubai Metro, timezone, Gulf Standard Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulf Standard Time
Context triple: [Dubai Metro, timezone, Gulf Standard Time]
  • A. Gulf Standard Time chosen
    Gulf Standard Time is the time zone used by several Gulf countries, including the United Arab Emirates, which is four hours ahead of Coordinated Universal Time (UTC+4) and does not observe daylight saving time.
  • B. Arabia Standard Time
    Arabia Standard Time is the time zone used by several countries on the Arabian Peninsula, including Saudi Arabia, typically corresponding to UTC+3 with no daylight saving time.
  • C. 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.
  • D. Azerbaijan Time
    Azerbaijan Time is the standard time zone used throughout Azerbaijan, typically four hours ahead of Coordinated Universal Time (UTC+4).
  • E. Pakistan Standard Time
    Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b172e88190a26d31c9075b81fb completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d7fba6c819097d8e2d962d0241f completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.