Triple

T14602890
Position Surface form Disambiguated ID Type / Status
Subject Central Iran E342747 entity
Predicate containsCity P294 FINISHED
Object Meybod E1046282 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: Meybod | Statement: [Central Iran, containsCity, Meybod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meybod
Context triple: [Central Iran, containsCity, Meybod]
  • A. Meybod chosen
    Meybod is a historic desert city in central Iran known for its ancient mud-brick architecture, including caravanserais, fortresses, and traditional ice houses.
  • B. Salmas
    Salmas is a historic city in Iran's West Azerbaijan Province, known for its diverse cultural heritage and location in the northwestern part of the country.
  • C. Juybar
    Juybar is a small city in northern Iran known for its location in the fertile, Caspian coastal region of Mazandaran.
  • D. Nahavand
    Nahavand is a historic city in western Iran known as the site of a decisive 7th-century battle that contributed to the fall of the Sasanian Empire.
  • E. Golpayegan
    Golpayegan is a historic city in central Iran known for its traditional architecture, ancient mosques, and production of high-quality dairy products.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff288ba908190a36c4784331d1e60 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 1:25 a.m.