Triple

T11623683
Position Surface form Disambiguated ID Type / Status
Subject Bursa Province E276205 entity
Predicate containsCity P294 FINISHED
Object Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
E946584 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: Gürsu | Statement: [Bursa Province, containsCity, Gürsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gürsu
Context triple: [Bursa Province, containsCity, Gürsu]
  • A. Malkara
    Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
  • B. Kurukdere
    Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
  • C. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • D. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • E. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • 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: Gürsu
Triple: [Bursa Province, containsCity, Gürsu]
Generated description
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gürsu
Target entity description: Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • A. Malkara
    Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
  • B. Kurukdere
    Kurukdere is a locality in present-day eastern Turkey known primarily as the site of a significant battle during the Crimean War between Russian and Ottoman forces.
  • C. Gürbulak
    Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
  • D. Muratpaşa
    Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
  • E. Gölbaşı
    Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fa01ba88190a4fa5a74fe96cfa9 completed April 28, 2026, 10:44 a.m.
NEDg Description generation batch_69f0a7971df48190b51c1d245f4c89d2 completed April 28, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_69f0d61cf9c4819080590fefc60f7325 completed April 28, 2026, 3:45 p.m.
Created at: April 8, 2026, 9:39 p.m.