Triple

T8343881
Position Surface form Disambiguated ID Type / Status
Subject Robat Karim County E195986 entity
Predicate borders P224 FINISHED
Object Shahriar County E202980 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: Shahriar County | Statement: [Robat Karim County, borders, Shahriar County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahriar County
Context triple: [Robat Karim County, borders, Shahriar County]
  • A. Shahriar County chosen
    Shahriar County is an administrative subdivision in north-central Iran, located within Tehran Province and forming part of the greater Tehran metropolitan area.
  • B. Firuzkuh County
    Firuzkuh County is an administrative subdivision in northeastern Tehran Province, Iran, known for its mountainous terrain, cold climate, and natural attractions.
  • C. Pakdasht County
    Pakdasht County is an administrative subdivision in Iran located southeast of Tehran, known for its agricultural activities and proximity to the capital.
  • D. Sabzevar County
    Sabzevar County is an administrative region in Razavi Khorasan Province in northeastern Iran, known for its historical significance and cultural heritage.
  • E. Pishva County
    Pishva County is an administrative subdivision in northern Iran known for its location within Tehran Province and its proximity to the capital city.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fed6b588190ba5593859c8effc2 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce029282988190ae1bf71302284029 completed April 2, 2026, 5:45 a.m.
Created at: March 30, 2026, 5:58 p.m.