Triple
T13768757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altındağ |
E330819
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object |
Karapürçek
Karapürçek is a neighborhood located within the Altındağ district of Ankara, Turkey.
|
E1060751
|
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: Karapürçek | Statement: [Altındağ, containsPart, Karapürçek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karapürçek Context triple: [Altındağ, containsPart, Karapürçek]
-
A.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
B.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
-
C.
Karaca
Karaca is a Turkish surname most famously associated with Cem Karaca, a prominent Anatolian rock musician and political figure.
-
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.
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.
- 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: Karapürçek Triple: [Altındağ, containsPart, Karapürçek]
Generated description
Karapürçek is a neighborhood located within the Altındağ district of Ankara, Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karapürçek Target entity description: Karapürçek is a neighborhood located within the Altındağ district of Ankara, Turkey.
-
A.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
B.
Akyurt
Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
-
C.
Karaca
Karaca is a Turkish surname most famously associated with Cem Karaca, a prominent Anatolian rock musician and political figure.
-
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.
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.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0724ab481908448d71a1bd02253 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b0f912f081908084042860c922cb |
completed | May 3, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b16a43188190968d5cdf32e447ec |
completed | May 3, 2026, 8:34 p.m. |
Created at: April 9, 2026, 10:10 p.m.