Triple

T6726650
Position Surface form Disambiguated ID Type / Status
Subject Qakh District E153533 entity
Predicate hasSettlement P1068 FINISHED
Object Ilisu
Ilisu is a historic mountain village in northwestern Azerbaijan known for its scenic landscapes, traditional architecture, and cultural heritage.
E614649 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: Ilisu | Statement: [Qakh District, hasSettlement, Ilisu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilisu
Context triple: [Qakh District, hasSettlement, Ilisu]
  • A. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • B. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • C. Tsilivi
    Tsilivi is a popular seaside resort village on the Greek island of Zakynthos, known for its sandy beach, family-friendly atmosphere, and vibrant tourist facilities.
  • D. Timbiša
    Timbiša is a Native American language of the Timbisha Shoshone people, traditionally spoken in the Death Valley region of California and Nevada.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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: Ilisu
Triple: [Qakh District, hasSettlement, Ilisu]
Generated description
Ilisu is a historic mountain village in northwestern Azerbaijan known for its scenic landscapes, traditional architecture, and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ilisu
Target entity description: Ilisu is a historic mountain village in northwestern Azerbaijan known for its scenic landscapes, traditional architecture, and cultural heritage.
  • A. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • B. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • C. Tsilivi
    Tsilivi is a popular seaside resort village on the Greek island of Zakynthos, known for its sandy beach, family-friendly atmosphere, and vibrant tourist facilities.
  • D. Timbiša
    Timbiša is a Native American language of the Timbisha Shoshone people, traditionally spoken in the Death Valley region of California and Nevada.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d152a4908190a041f2049240e7ca completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a5428c81908d4484c3e3734076 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c707ca6b188190af9b17171b7d912c completed March 27, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69c708869b6c81909da4677d72c4edcd completed March 27, 2026, 10:45 p.m.
Created at: March 27, 2026, 2:08 p.m.