Triple

T8573288
Position Surface form Disambiguated ID Type / Status
Subject Karaj E202981 entity
Predicate partOf P40 FINISHED
Object Karaj County E715544 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: Karaj County | Statement: [Karaj, partOf, Karaj County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaj County
Context triple: [Karaj, partOf, Karaj County]
  • A. Karaj County chosen
    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.
  • B. 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.
  • C. Tehran County
    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.
  • D. Baharestan County
    Baharestan County is an administrative subdivision in Iran located within Tehran Province, forming part of the greater Tehran metropolitan area.
  • E. Marvdasht County
    Marvdasht County is an administrative region in Fars Province, Iran, known for encompassing important ancient Persian archaeological sites including the area around Pasargadae.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc72d8c08190b5e063e6de2bbdd2 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:21 p.m.