Triple

T9186674
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Iran E220475 entity
Predicate hasMajorCity P316 FINISHED
Object Marand E229943 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: Marand | Statement: [Northwestern Iran, hasMajorCity, Marand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marand
Context triple: [Northwestern Iran, hasMajorCity, Marand]
  • A. Marand chosen
    Marand is a significant city in northwestern Iran’s East Azerbaijan Province, known as a regional commercial and agricultural center.
  • B. Chardakhlu
    Chardakhlu is a village in the South Caucasus historically known as the birthplace of prominent Soviet Armenian military commander Ivan Bagramyan.
  • C. Hormuzd
    Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
  • D. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • E. Roya
    Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31a52508190a83ccd76f3aa039b completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1e163c8190bf9a85de7569c14d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.