Triple

T15805601
Position Surface form Disambiguated ID Type / Status
Subject Kütahya Province E383207 entity
Predicate contains P35 FINISHED
Object Aslanapa
Aslanapa is a town and district in western Turkey known for its rural character and location within Kütahya Province.
E1179166 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: Aslanapa | Statement: [Kütahya Province, contains, Aslanapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aslanapa
Context triple: [Kütahya Province, contains, Aslanapa]
  • A. Orhaneli
    Orhaneli is a town and district in northwestern Turkey known for its rural character and location within Bursa Province.
  • B. Babadag
    Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
  • C. Karakilise
    Karakilise is a historical name for the city now known as Ağrı in eastern Turkey.
  • D. Ananuri
    Ananuri is a historic castle complex in Georgia, renowned for its medieval fortifications and churches overlooking the Aragvi River.
  • E. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • 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: Aslanapa
Triple: [Kütahya Province, contains, Aslanapa]
Generated description
Aslanapa is a town and district in western Turkey known for its rural character and location within Kütahya Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aslanapa
Target entity description: Aslanapa is a town and district in western Turkey known for its rural character and location within Kütahya Province.
  • A. Orhaneli
    Orhaneli is a town and district in northwestern Turkey known for its rural character and location within Bursa Province.
  • B. Babadag
    Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
  • C. Karakilise
    Karakilise is a historical name for the city now known as Ağrı in eastern Turkey.
  • D. Ananuri
    Ananuri is a historic castle complex in Georgia, renowned for its medieval fortifications and churches overlooking the Aragvi River.
  • E. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9dcbb36881909c4317f9031199b8 completed May 9, 2026, 8:49 p.m.
NED2 Entity disambiguation (via description) batch_69ff9e25b2f08190b519d61be3e2f2f6 completed May 9, 2026, 8:50 p.m.
Created at: April 10, 2026, 4:48 a.m.