Triple

T20755419
Position Surface form Disambiguated ID Type / Status
Subject Port of Bushehr E510830 entity
Predicate locatedInTimeZone P109 FINISHED
Object IRST 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: IRST | Statement: [Port of Bushehr, locatedInTimeZone, IRST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IRST
Context triple: [Port of Bushehr, 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 (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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22fbc4c8190866a888612c6ad23 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.