Triple

T10039079
Position Surface form Disambiguated ID Type / Status
Subject Dimlî E205248 entity
Predicate hasAlternativeName P39 FINISHED
Object Kirmanjki
Kirmanjki is a Northwestern Iranian language variety, often considered a dialect of Zaza (Dimlî), spoken primarily by Kurdish communities in eastern Turkey.
 E837223 NE FINISHED

How this triple was built (4 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: Kirmanjki | Statement: [Dimlî, hasAlternativeName, Kirmanjki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirmanjki
Context triple: [Dimlî, hasAlternativeName, Kirmanjki]
  • A. Kocani
    Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
  • B. Karpniki
    Karpniki is a village in southwestern Poland known for its historic palace complex and scenic location at the foot of the Karkonosze Mountains.
  • C. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Kapesovo
    Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kirmanjki
Triple: [Dimlî, hasAlternativeName, Kirmanjki]
Generated description
Kirmanjki is a Northwestern Iranian language variety, often considered a dialect of Zaza (Dimlî), spoken primarily by Kurdish communities in eastern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kirmanjki
Target entity description: Kirmanjki is a Northwestern Iranian language variety, often considered a dialect of Zaza (Dimlî), spoken primarily by Kurdish communities in eastern Turkey.
  • A. Kocani
    Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
  • B. Karpniki
    Karpniki is a village in southwestern Poland known for its historic palace complex and scenic location at the foot of the Karkonosze Mountains.
  • C. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Kapesovo
    Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
  • F. None of above. chosen

Provenance (5 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee04afc8190904704d66e23a432 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28268ab648190a565472d00b289c2 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d283c516708190b3a1c363841787fc completed April 5, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_69d284956730819099e5cd918e722fd8 completed April 5, 2026, 3:49 p.m.
Created at: March 30, 2026, 8:55 p.m.