Triple

T22370886
Position Surface form Disambiguated ID Type / Status
Subject Dezful E553035 entity
Predicate roadConnection P385 FINISHED
Object Andimeshk 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: Andimeshk | Statement: [Dezful, roadConnection, Andimeshk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andimeshk
Context triple: [Dezful, roadConnection, Andimeshk]
  • A. Andimeshk chosen
    Andimeshk is a city in southwestern Iran known as a regional transportation hub and gateway to the Zagros Mountains.
  • B. Shahrud
    Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
  • C. Yeghevārd
    Yeghevārd is a historical locality in the South Caucasus, notable as the site of an important 1735 battle between Persian and Ottoman forces.
  • D. Ardestan
    Ardestan is an ancient city in central Iran known for its historic architecture, including notable mosques and traditional urban fabric.
  • E. Ardakan
    Ardakan is a city and electoral district in Iran’s Yazd Province, known as the political base and hometown of former president Mohammad Khatami.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15803e7208190ba14c91fb90e15ca completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.