Triple

T13187337
Position Surface form Disambiguated ID Type / Status
Subject Balkan welaýaty E313890 entity
Predicate containsTown P847 FINISHED
Object Etrek
Etrek is a town in the Balkan Region of southwestern Turkmenistan, near the border with Iran.
 E1026044 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: Etrek | Statement: [Balkan welaýaty, containsTown, Etrek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Etrek
Context triple: [Balkan welaýaty, containsTown, Etrek]
  • A. Etsaut
    Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
  • B. Tomei
    Tomei is the surname of American actress Marisa Tomei, known for her Academy Award–winning performance in "My Cousin Vinny" and numerous film and television roles.
  • C. Takeley
    Takeley is a village and civil parish in Essex, England, situated near London Stansted Airport.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • 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: Etrek
Triple: [Balkan welaýaty, containsTown, Etrek]
Generated description
Etrek is a town in the Balkan Region of southwestern Turkmenistan, near the border with Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Etrek
Target entity description: Etrek is a town in the Balkan Region of southwestern Turkmenistan, near the border with Iran.
  • A. Etsaut
    Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
  • B. Tomei
    Tomei is the surname of American actress Marisa Tomei, known for her Academy Award–winning performance in "My Cousin Vinny" and numerous film and television roles.
  • C. Takeley
    Takeley is a village and civil parish in Essex, England, situated near London Stansted Airport.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f7a304819081c4f51631948cbd completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f694f8c48190adce4cddbf63777f completed May 3, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6f7d8bfa0819097b3d9175bc56933 completed May 3, 2026, 7:23 a.m.
Created at: April 9, 2026, 9:15 p.m.