Triple

T17364369
Position Surface form Disambiguated ID Type / Status
Subject Talysh region E422148 entity
Predicate hasMajorTown P316 FINISHED
Object Talesh (Iran) NE ONNED1

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: Talesh (Iran) | Statement: [Talysh region, hasMajorTown, Talesh (Iran)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talesh (Iran)
Context triple: [Talysh region, hasMajorTown, Talesh (Iran)]
  • A. Talesh chosen
    Talesh is a city in northern Iran known for its lush Caspian coastal landscapes, mountainous surroundings, and Talysh cultural heritage.
  • B. Pishva
    Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
  • C. Sarbisheh
    Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
  • D. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • E. Kangavar
    Kangavar is a historic town in western Iran, known for its archaeological remains including a large terraced complex traditionally associated with a temple of Anahita.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4f52988190847230e119a35b87 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01956294ec819083c1dde8fc2685e4 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.