Triple

T2986620
Position Surface form Disambiguated ID Type / Status
Subject Ankara Province E80640 entity
Predicate contains P35 FINISHED
Object Ayaş
Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
 E315508 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: Ayaş | Statement: [Ankara Province, contains, Ayaş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ayaş
Context triple: [Ankara Province, contains, Ayaş]
  • A. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • B. Alaybey
    Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
  • C. Aliağa
    Aliağa is a coastal industrial district and port town in İzmir Province, Turkey, known for its petrochemical facilities and ship-breaking yards.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. İmroz
    İmroz, now known as Gökçeada, is a large Aegean island of Turkey historically home to a significant Greek community.
  • 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: Ayaş
Triple: [Ankara Province, contains, Ayaş]
Generated description
Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ayaş
Target entity description: Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • A. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • B. Alaybey
    Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
  • C. Aliağa
    Aliağa is a coastal industrial district and port town in İzmir Province, Turkey, known for its petrochemical facilities and ship-breaking yards.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. İmroz
    İmroz, now known as Gökçeada, is a large Aegean island of Turkey historically home to a significant Greek community.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108fb46b08190bcbd00e69cf06047 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1098429f0819086767078b9687674 completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b109ea926481909c85a9aa28027d41 completed March 11, 2026, 6:21 a.m.
Created at: March 8, 2026, 2:59 p.m.