Triple

T8674697
Position Surface form Disambiguated ID Type / Status
Subject Hawrami E205884 entity
Predicate spokenIn P2266 FINISHED
Object Hawraman region E205888 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: Hawraman region | Statement: [Hawrami, spokenIn, Hawraman region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawraman region
Context triple: [Hawrami, spokenIn, Hawraman region]
  • A. Hawraman region chosen
    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.
  • B. Serugh region
    The Serugh region is a historical area in Upper Mesopotamia, associated with early Syriac Christianity and figures such as the theologian Jacob of Serugh.
  • C. Keserwan District
    Keserwan District is a coastal and mountainous administrative district in central Lebanon known for its Maronite Christian heritage, tourism, and proximity to Beirut.
  • D. Sulaymaniyah
    Sulaymaniyah is a major city in the Kurdistan Region of Iraq, known as a cultural and economic center with a diverse linguistic landscape.
  • E. Ahal Region
    Ahal Region is an administrative province in south-central Turkmenistan that surrounds the capital city, Ashgabat.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491cee048190a6f6cddabada76dc completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28748c0c8190a8870650a9b07d7d completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:31 p.m.