Triple

T12948098
Position Surface form Disambiguated ID Type / Status
Subject Yazd Province E309820 entity
Predicate hasCity P316 FINISHED
Object Ardakan E769360 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: Ardakan | Statement: [Yazd Province, hasCity, Ardakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ardakan
Context triple: [Yazd Province, hasCity, Ardakan]
  • A. Ardakan chosen
    Ardakan is a city and electoral district in Iran’s Yazd Province, known as the political base and hometown of former president Mohammad Khatami.
  • 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. Azarshahr
    Azarshahr is a city in northwestern Iran known for its location within East Azerbaijan Province and its role as a local administrative and economic center.
  • D. Andimeshk
    Andimeshk is a city in southwestern Iran known as a regional transportation hub and gateway to the Zagros Mountains.
  • E. Firuzabad
    Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b96f72881909090691e99bb2425 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 5:43 p.m.