Triple

T20688585
Position Surface form Disambiguated ID Type / Status
Subject Bandar Torkaman E508487 entity
Predicate locatedIn P40 FINISHED
Object Bandar Torkaman County 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: Bandar Torkaman County | Statement: [Bandar Torkaman, locatedIn, Bandar Torkaman County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandar Torkaman County
Context triple: [Bandar Torkaman, locatedIn, Bandar Torkaman County]
  • A. Bandar Torkaman chosen
    Bandar Torkaman is a port city in northern Iran on the southeastern coast of the Caspian Sea, known historically as a regional trade hub and gateway to Turkmen-inhabited areas.
  • B. Juybar
    Juybar is a small city in northern Iran known for its location in the fertile, Caspian coastal region of Mazandaran.
  • C. Mehdishahr
    Mehdishahr is a city in north-central Iran known for its location in the mountainous region of Semnan Province and its relatively cool climate.
  • D. Bandar Abbas County
    Bandar Abbas County is an administrative division in Iran’s Hormozgan Province centered on the port city of Bandar Abbas along the Persian Gulf.
  • E. Piranshahr
    Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial center.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10b7b808190bdb8b08e53168fb8 completed April 21, 2026, 12:12 a.m.
Created at: April 16, 2026, 11:49 a.m.