Triple

T8343880
Position Surface form Disambiguated ID Type / Status
Subject Robat Karim County E195986 entity
Predicate borders P224 FINISHED
Object Qods County E205479 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: Qods County | Statement: [Robat Karim County, borders, Qods County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qods County
Context triple: [Robat Karim County, borders, Qods County]
  • A. Qods County chosen
    Qods County is an administrative subdivision in Iran located within Tehran Province, encompassing urban and surrounding areas near the capital city.
  • B. Varamin County
    Varamin County is an administrative subdivision in northern Iran known for its agricultural lands and historical sites, located southeast of Tehran.
  • C. Rehamna Province
    Rehamna Province is an administrative division in central Morocco known for its rural communities and agricultural activities within the Marrakesh-Safi region.
  • D. Islamshahr County
    Islamshahr County is an administrative subdivision in north-central Iran that forms part of the greater Tehran metropolitan area.
  • E. Babol County
    Babol County is an administrative division in Mazandaran Province in northern Iran, centered on the city of Babol near the Caspian Sea.
  • 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_69cdc733f7848190ab60098cb178dbfc completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:58 p.m.