Triple

T1836586
Position Surface form Disambiguated ID Type / Status
Subject Zazaki E41080 entity
Predicate hasAlternativeName P39 FINISHED
Object Zaza
Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
 E205247 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: Zaza | Statement: [Zazaki, hasAlternativeName, Zaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zaza
Context triple: [Zazaki, hasAlternativeName, Zaza]
  • A. Zana
    Zana is a song featured on the album "Legend of the Sun Virgin" by Peruvian-Australian singer-songwriter and producer Gaby Moreno (performing as part of the project).
  • B. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • C. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • D. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • E. Zay
    Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
  • 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: Zaza
Triple: [Zazaki, hasAlternativeName, Zaza]
Generated description
Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zaza
Target entity description: Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • A. Zana
    Zana is a song featured on the album "Legend of the Sun Virgin" by Peruvian-Australian singer-songwriter and producer Gaby Moreno (performing as part of the project).
  • B. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • C. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • D. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • E. Zay
    Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb028226481908558c11449e1d6b6 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b6dc9481908a83e60aee326bc4 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaef04e88190a88f789a6370bafb completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcb8e053c819082a3d4b36afe35be completed March 8, 2026, 7:18 p.m.
Created at: March 4, 2026, 7:33 p.m.