Triple

T10836263
Position Surface form Disambiguated ID Type / Status
Subject Ray E255763 entity
Predicate administrativelyPartOf P15909 FINISHED
Object Tehran County E709067 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: Tehran County | Statement: [Ray, administrativelyPartOf, Tehran County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tehran County
Context triple: [Ray, administrativelyPartOf, Tehran County]
  • A. Tehran County chosen
    Tehran County is an administrative division in north-central Iran that encompasses much of the metropolitan area of Tehran, the nation’s capital and largest city.
  • B. Karaj County
    Karaj County is an administrative division in Iran’s Alborz Province that includes the city of Karaj, a major urban and industrial center just west of Tehran.
  • C. Hamadan County
    Hamadan County is an administrative division in western Iran centered on the historic city of Hamadan, known for its cultural heritage and regional significance.
  • D. Tehran Province
    Tehran Province is an administrative region in north-central Iran that includes the nation’s capital, Tehran, and serves as a major political, economic, and cultural hub.
  • E. Qazvin County
    Qazvin County is an administrative division in Iran’s Qazvin Province, centered on the historic city of Qazvin and known for its cultural heritage and strategic location.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746fdefd4819099772efbd4f302cb completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.