Triple

T13408629
Position Surface form Disambiguated ID Type / Status
Subject Turkmeneli E320025 entity
Predicate containsCity P294 FINISHED
Object Daquq
Daquq is a town in northern Iraq located within the Turkmen-majority cultural region known as Turkmeneli.
 E1039831 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: Daquq | Statement: [Turkmeneli, containsCity, Daquq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daquq
Context triple: [Turkmeneli, containsCity, Daquq]
  • A. Qwaraña
    Qwaraña is an alternative name for the Qwara language, a lesser-known Afroasiatic language historically spoken by the Beta Israel (Ethiopian Jewish) community in Ethiopia.
  • B. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • C. Druun
    The Druun are malevolent, amorphous spirits from Disney's "Raya and the Last Dragon" that turn living beings to stone and serve as the film’s primary antagonistic force.
  • D. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • E. Qaʾan
    Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
  • 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: Daquq
Triple: [Turkmeneli, containsCity, Daquq]
Generated description
Daquq is a town in northern Iraq located within the Turkmen-majority cultural region known as Turkmeneli.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daquq
Target entity description: Daquq is a town in northern Iraq located within the Turkmen-majority cultural region known as Turkmeneli.
  • A. Qwaraña
    Qwaraña is an alternative name for the Qwara language, a lesser-known Afroasiatic language historically spoken by the Beta Israel (Ethiopian Jewish) community in Ethiopia.
  • B. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • C. Druun
    The Druun are malevolent, amorphous spirits from Disney's "Raya and the Last Dragon" that turn living beings to stone and serve as the film’s primary antagonistic force.
  • D. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • E. Qaʾan
    Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4d2c5481908facfaaa1501e344 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ccff08190aa4037aa5a48f7d0 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7313c6bcc8190a848cf8945a0ae2a completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f736f2f6a081908d532dba6f34ed97 completed May 3, 2026, 11:52 a.m.
Created at: April 9, 2026, 9:35 p.m.