Triple

T23478901
Position Surface form Disambiguated ID Type / Status
Subject Zeytinburnu E570346 entity
Predicate borders P224 FINISHED
Object Güngören
Güngören is a densely populated working- and middle-class district on Istanbul’s European side, known for its residential neighborhoods and small-scale industry.
E1590620 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: Güngören | Statement: [Zeytinburnu, borders, Güngören]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güngören
Context triple: [Zeytinburnu, borders, Güngören]
  • A. Gökçen
    Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
  • B. Göynük
    Göynük is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
  • C. Keçiören
    Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
  • D. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • 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: Güngören
Triple: [Zeytinburnu, borders, Güngören]
Generated description
Güngören is a densely populated working- and middle-class district on Istanbul’s European side, known for its residential neighborhoods and small-scale industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Güngören
Target entity description: Güngören is a densely populated working- and middle-class district on Istanbul’s European side, known for its residential neighborhoods and small-scale industry.
  • A. Gökçen
    Gökçen is a Turkish surname most famously borne by Sabiha Gökçen, one of the world’s first female fighter pilots and an adopted daughter of Mustafa Kemal Atatürk.
  • B. Göynük
    Göynük is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
  • C. Keçiören
    Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
  • D. Karaköy
    Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74e7e648190b89006dce7d7ce05 completed April 29, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf3ee01c8190a7e0d65b89c34d8f completed May 19, 2026, 10:07 p.m.
NEDg Description generation batch_6a0ce03e3fe48190b9611ab39255f655 completed May 19, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce07459948190a9465ce092155d64 completed May 19, 2026, 10:13 p.m.
Created at: April 17, 2026, 6:02 p.m.