Triple

T10540292
Position Surface form Disambiguated ID Type / Status
Subject East Azerbaijan Province E248676 entity
Predicate containsCity P294 FINISHED
Object Mianeh E229944 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: Mianeh | Statement: [East Azerbaijan Province, containsCity, Mianeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mianeh
Context triple: [East Azerbaijan Province, containsCity, Mianeh]
  • A. Mianeh chosen
    Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
  • B. Marivan
    Marivan is a Kurdish-populated city in western Iran near the Iraqi border, known for its scenic Zarivar Lake and role as a regional commercial and cultural center.
  • C. Miyāneh
    Miyāneh is a city in East Azerbaijan Province in northwestern Iran, known as a regional agricultural and transportation hub.
  • D. Miyaneh
    Miyaneh is a city in East Azerbaijan Province in northwestern Iran, known as a regional agricultural and transportation hub.
  • E. Mehdishahr
    Mehdishahr is a city in north-central Iran known for its location in the mountainous region of Semnan Province and its relatively cool climate.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a582be48190856c6f272eea4dcf completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9341d96c08190a6ba644b9acfe2c8 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.