Triple
T11988835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malatya Province |
E285351
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Yazıhan
Yazıhan is a rural district and town in eastern Turkey known for its agricultural activities within Malatya Province.
|
E965952
|
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: Yazıhan | Statement: [Malatya Province, hasDistrict, Yazıhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yazıhan Context triple: [Malatya Province, hasDistrict, Yazıhan]
-
A.
Nallıhan
Nallıhan is a district and town in Turkey known for its natural landscapes, including colorful rock formations and rich birdlife, located within Ankara Province.
-
B.
Kartepe
Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
-
C.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
D.
Gemlik
Gemlik is a coastal town and district in Bursa Province, northwestern Turkey, known for its port on the Sea of Marmara and its olive production.
-
E.
Doğubayazıt
Doğubayazıt is a town in eastern Turkey near the Iranian border, known as a gateway to Mount Ararat and for its historic Ishak Pasha Palace.
- 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: Yazıhan Triple: [Malatya Province, hasDistrict, Yazıhan]
Generated description
Yazıhan is a rural district and town in eastern Turkey known for its agricultural activities within Malatya Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yazıhan Target entity description: Yazıhan is a rural district and town in eastern Turkey known for its agricultural activities within Malatya Province.
-
A.
Nallıhan
Nallıhan is a district and town in Turkey known for its natural landscapes, including colorful rock formations and rich birdlife, located within Ankara Province.
-
B.
Kartepe
Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
-
C.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
D.
Gemlik
Gemlik is a coastal town and district in Bursa Province, northwestern Turkey, known for its port on the Sea of Marmara and its olive production.
-
E.
Doğubayazıt
Doğubayazıt is a town in eastern Turkey near the Iranian border, known as a gateway to Mount Ararat and for its historic Ishak Pasha Palace.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f640b9a481908de1b7858e3db52c |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ef0a9c8190ac922562a8856def |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:46 p.m.