Triple

T1820486
Position Surface form Disambiguated ID Type / Status
Subject Kurmanji E40527 entity
Predicate hasDialect P4251 FINISHED
Object Behdini
Behdini is a Northern Kurdish (Kurmanji) dialect spoken primarily by Kurdish communities in and around the Dohuk region of Iraqi Kurdistan.
 E204711 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: Behdini | Statement: [Kurmanji, hasDialect, Behdini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Behdini
Context triple: [Kurmanji, hasDialect, Behdini]
  • A. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • B. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • C. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • D. Sana'i
    Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • 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: Behdini
Triple: [Kurmanji, hasDialect, Behdini]
Generated description
Behdini is a Northern Kurdish (Kurmanji) dialect spoken primarily by Kurdish communities in and around the Dohuk region of Iraqi Kurdistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Behdini
Target entity description: Behdini is a Northern Kurdish (Kurmanji) dialect spoken primarily by Kurdish communities in and around the Dohuk region of Iraqi Kurdistan.
  • A. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • B. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • C. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • D. Sana'i
    Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662a13208190b4126d92c613760d completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf629af48190a27fddc764e306a7 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07e9ebc819082566cc98025b4ae completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.