Triple

T23136077
Position Surface form Disambiguated ID Type / Status
Subject Abu Sa'id Abu'l-Khayr E577324 entity
Predicate associatedWith P37 FINISHED
Object Nishapur 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: Nishapur | Statement: [Abu Sa'id Abu'l-Khayr, associatedWith, Nishapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishapur
Context triple: [Abu Sa'id Abu'l-Khayr, associatedWith, Nishapur]
  • A. Nishapur
    Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
  • B. Nurabad
    Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • C. Istakhr
    Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
  • D. Neyshabur chosen
    Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
  • E. 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.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8b694c8190b9ead00ea0576d90 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.