Triple

T23508852
Position Surface form Disambiguated ID Type / Status
Subject Hamdaniya E572359 entity
Predicate locatedInRegion P40 FINISHED
Object Nineveh Plains NE NERFINISHED

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: Nineveh Plains | Statement: [Hamdaniya, locatedInRegion, Nineveh Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nineveh Plains
Context triple: [Hamdaniya, locatedInRegion, Nineveh Plains]
  • A. Nineveh Plains chosen
    The Nineveh Plains is a historically significant region in northern Iraq known for its diverse ethnic and religious minority communities, including Assyrians, Yazidis, and others.
  • B. Akkar Plain
    Akkar Plain is a fertile agricultural lowland in northern Lebanon known for its extensive farmlands and rural communities.
  • C. Harran Plain
    Harran Plain is a fertile lowland region in southeastern Turkey, historically significant as an agricultural center and crossroads of ancient civilizations.
  • D. Hawraman region
    The Hawraman region is a mountainous area in the Kurdistan borderlands of Iran and Iraq, known for its distinct Hawrami (Gorani) Kurdish culture, language, and terraced stone villages.
  • E. Muş Plain
    Muş Plain is a broad, fertile lowland area in eastern Turkey known for its extensive agricultural lands and surrounding mountainous landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a902c0788190840d7df1b5450b4d completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.