Triple

T13520827
Position Surface form Disambiguated ID Type / Status
Subject Qom Province E322890 entity
Predicate locatedInTimeZone P109 FINISHED
Object IRST E169067 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: IRST | Statement: [Qom Province, locatedInTimeZone, IRST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IRST
Context triple: [Qom Province, locatedInTimeZone, IRST]
  • A. IRST chosen
    IRST (Iran Standard Time) is the time zone used throughout Iran, set 3.5 hours ahead of Coordinated Universal Time (UTC+3:30).
  • B. IR
    IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
  • C. IR
    IR is the branding abbreviation used for InterRegio, a category of medium- to long-distance passenger trains operating in several European countries.
  • D. IR
    IR is the ISO 3166-1 alpha-2 country code for Iran, a large Middle Eastern nation known for its ancient Persian heritage and significant geopolitical influence.
  • E. IER
    IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549a215c8190a0b18c505d8ca504 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.