Triple

T13482262
Position Surface form Disambiguated ID Type / Status
Subject Almaty Region E318399 entity
Predicate containsTown P847 FINISHED
Object Kaskelen
Kaskelen is a town in southeastern Kazakhstan that serves as a local center within the Almaty Region, situated near the city of Almaty.
E1043118 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: Kaskelen | Statement: [Almaty Region, containsTown, Kaskelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaskelen
Context triple: [Almaty Region, containsTown, Kaskelen]
  • A. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • B. Nakkila
    Nakkila is a small municipality in western Finland known for its rural landscapes and location along the Kokemäki River.
  • C. Koidula
    Koidula is a railway junction and border station in southeastern Estonia that serves as a key transit point near the Russian and Latvian borders.
  • D. Kruununhaka
    Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
  • E. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • 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: Kaskelen
Triple: [Almaty Region, containsTown, Kaskelen]
Generated description
Kaskelen is a town in southeastern Kazakhstan that serves as a local center within the Almaty Region, situated near the city of Almaty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaskelen
Target entity description: Kaskelen is a town in southeastern Kazakhstan that serves as a local center within the Almaty Region, situated near the city of Almaty.
  • A. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • B. Nakkila
    Nakkila is a small municipality in western Finland known for its rural landscapes and location along the Kokemäki River.
  • C. Koidula
    Koidula is a railway junction and border station in southeastern Estonia that serves as a key transit point near the Russian and Latvian borders.
  • D. Kruununhaka
    Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
  • E. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3868ec8190a6a1803018d4f2d8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74635145c8190a42199fe4ed8c2a5 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f748dfd4f081908fd5d77fe70f9db4 completed May 3, 2026, 1:08 p.m.
NED2 Entity disambiguation (via description) batch_69f74965c53081909c662f7f991849bf completed May 3, 2026, 1:11 p.m.
Created at: April 9, 2026, 9:42 p.m.