Triple

T13032672
Position Surface form Disambiguated ID Type / Status
Subject Gediz, Kütahya E326480 entity
Predicate hasCapital P204 FINISHED
Object Gediz
Gediz is a town and district in Turkey’s Kütahya Province, known for its thermal springs and location in the country’s Aegean region.
 E1020356 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: Gediz | Statement: [Gediz, Kütahya, hasCapital, Gediz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gediz
Context triple: [Gediz, Kütahya, hasCapital, Gediz]
  • A. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • B. Gelibolu
    Gelibolu is a historic coastal town in Turkey located on the Gallipoli Peninsula, known for its strategic position on the Dardanelles and its role in Ottoman and World War I history.
  • C. Ergene
    Ergene is a district and municipality in Turkey’s Tekirdağ Province, located in the European (Thrace) part of the country and known for its industrial activity.
  • D. Bafra
    Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
  • E. Güneyçay
    Güneyçay is a smaller river or stream in the Caucasus region that serves as a tributary feeding into the Samur River.
  • 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: Gediz
Triple: [Gediz, Kütahya, hasCapital, Gediz]
Generated description
Gediz is a town and district in Turkey’s Kütahya Province, known for its thermal springs and location in the country’s Aegean region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gediz
Target entity description: Gediz is a town and district in Turkey’s Kütahya Province, known for its thermal springs and location in the country’s Aegean region.
  • A. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • B. Gelibolu
    Gelibolu is a historic coastal town in Turkey located on the Gallipoli Peninsula, known for its strategic position on the Dardanelles and its role in Ottoman and World War I history.
  • C. Ergene
    Ergene is a district and municipality in Turkey’s Tekirdağ Province, located in the European (Thrace) part of the country and known for its industrial activity.
  • D. Bafra
    Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
  • E. Güneyçay
    Güneyçay is a smaller river or stream in the Caucasus region that serves as a tributary feeding into the Samur River.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efe72348190b52fb4068f5fb829 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fa10fc81908a37b85894f8f849 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6db65879c819092387e028b792ab9 completed May 3, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6dbec7e808190a7cee821ba193bb8 completed May 3, 2026, 5:23 a.m.
Created at: April 9, 2026, 8:54 p.m.