Triple

T771773
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Turkic E16295 entity
Predicate hasMember P10 FINISHED
Object Salar
Salar is a Turkic ethnic group primarily residing in northwestern China, known for speaking the Salar language and practicing Islam.
 E103032 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: Salar | Statement: [Southwestern Turkic, hasMember, Salar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salar
Context triple: [Southwestern Turkic, hasMember, Salar]
  • A. Khora
    Khora is one of the now nearly extinct indigenous languages once spoken by the Great Andamanese people of the Andaman Islands in India.
  • B. Taba
    Taba is a small Egyptian resort town on the Red Sea near the border with Israel, known for its beaches, coral reefs, and role as a popular gateway between the two countries.
  • C. Salar de Arizaro
    Salar de Arizaro is one of the largest high-altitude salt flats in Argentina, known for its vast barren landscape and striking geological formations such as the Cono de Arita.
  • D. Lota
    Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
  • E. Salar de Antofalla
    Salar de Antofalla is a vast high-altitude salt flat in northwestern Argentina, notable for its remote location, colorful mineral landscapes, and extreme Andean desert environment.
  • 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: Salar
Triple: [Southwestern Turkic, hasMember, Salar]
Generated description
Salar is a Turkic ethnic group primarily residing in northwestern China, known for speaking the Salar language and practicing Islam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salar
Target entity description: Salar is a Turkic ethnic group primarily residing in northwestern China, known for speaking the Salar language and practicing Islam.
  • A. Khora
    Khora is one of the now nearly extinct indigenous languages once spoken by the Great Andamanese people of the Andaman Islands in India.
  • B. Taba
    Taba is a small Egyptian resort town on the Red Sea near the border with Israel, known for its beaches, coral reefs, and role as a popular gateway between the two countries.
  • C. Salar de Arizaro
    Salar de Arizaro is one of the largest high-altitude salt flats in Argentina, known for its vast barren landscape and striking geological formations such as the Cono de Arita.
  • D. Lota
    Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
  • E. Salar de Antofalla
    Salar de Antofalla is a vast high-altitude salt flat in northwestern Argentina, notable for its remote location, colorful mineral landscapes, and extreme Andean desert environment.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83948b48190af0349dd73ec3951 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b99c19fc819090e0f9a042a8c12c completed March 4, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba44b79c8190b0ce8a430fe928e5 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:37 p.m.