Triple

T8096732
Position Surface form Disambiguated ID Type / Status
Subject Iran Daylight Time E189003 entity
Predicate observedInCity P4810 FINISHED
Object Bojnord E221030 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: Bojnord | Statement: [Iran Daylight Time, observedInCity, Bojnord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bojnord
Context triple: [Iran Daylight Time, observedInCity, Bojnord]
  • A. Bojnord chosen
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • B. Tjeldsund
    Tjeldsund is a coastal municipality in northern Norway known for its location around the Tjeldsundet strait and its mix of island and mainland landscapes.
  • C. Farsund
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • D. Grimstad
    Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
  • E. Sandefjord
    Sandefjord is a coastal town and municipality in southern Norway known for its maritime heritage, whaling history, and popular seaside attractions.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd677b00548190929a2a38b4d1476f completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:30 p.m.