Triple

T16106768
Position Surface form Disambiguated ID Type / Status
Subject Bushehr Province E390758 entity
Predicate hasCity P316 FINISHED
Object Bushehr E244066 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: Bushehr | Statement: [Bushehr Province, hasCity, Bushehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bushehr
Context triple: [Bushehr Province, hasCity, Bushehr]
  • A. Bushehr chosen
    Bushehr is a coastal city in southwestern Iran on the Persian Gulf, known for its strategic port and nearby nuclear power plant.
  • B. Babolsar
    Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
  • C. Mahshahr
    Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
  • D. Bushehr Province
    Bushehr Province is a coastal region in southwestern Iran along the Persian Gulf, known for its strategic ports, energy industries, and ethnically diverse population.
  • E. Semnan
    Semnan is a historic city in north-central Iran known for its traditional architecture, bazaars, and role as a regional cultural and economic hub.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f39008c819095ad8512eb119ee8 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5 a.m.