Triple
T14500054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolu Province |
E359609
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Yeniçağa
Yeniçağa is a small town and district in northwestern Turkey known for its lake and location along the Ankara–Istanbul route.
|
E1101988
|
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: Yeniçağa | Statement: [Bolu Province, hasDistrict, Yeniçağa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeniçağa Context triple: [Bolu Province, hasDistrict, Yeniçağa]
-
A.
Ortaçeşme
Ortaçeşme is a neighborhood in Istanbul’s Beykoz district, known for its residential character and proximity to the Bosphorus on the city’s Asian side.
-
B.
Yenisi
"Yenisi" is a poetry collection by influential Turkish poet Orhan Veli Kanık, reflecting his modernist, plain-language style.
-
C.
Udarser Wiek
Udarser Wiek is a shallow bay in the Baltic Sea off the coast of the German island of Rügen, known for its coastal wetlands and bird habitats.
-
D.
Orta Nova
Orta Nova is a town in the Apulia region of southern Italy, known for its agricultural economy and location in the fertile Tavoliere plain.
-
E.
Osmanya
Osmanya is a Unicode block containing characters of the Osmanya alphabet, which was devised in the 20th century for writing the Somali language.
- 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: Yeniçağa Triple: [Bolu Province, hasDistrict, Yeniçağa]
Generated description
Yeniçağa is a small town and district in northwestern Turkey known for its lake and location along the Ankara–Istanbul route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yeniçağa Target entity description: Yeniçağa is a small town and district in northwestern Turkey known for its lake and location along the Ankara–Istanbul route.
-
A.
Ortaçeşme
Ortaçeşme is a neighborhood in Istanbul’s Beykoz district, known for its residential character and proximity to the Bosphorus on the city’s Asian side.
-
B.
Yenisi
"Yenisi" is a poetry collection by influential Turkish poet Orhan Veli Kanık, reflecting his modernist, plain-language style.
-
C.
Udarser Wiek
Udarser Wiek is a shallow bay in the Baltic Sea off the coast of the German island of Rügen, known for its coastal wetlands and bird habitats.
-
D.
Orta Nova
Orta Nova is a town in the Apulia region of southern Italy, known for its agricultural economy and location in the fertile Tavoliere plain.
-
E.
Osmanya
Osmanya is a Unicode block containing characters of the Osmanya alphabet, which was devised in the 20th century for writing the Somali language.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de94dfe484819086dd971606e6478e |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d99a7948190a3ff01e7b74aaa1e |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6eb86d1881908a326d448cf479da |
completed | May 8, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f6c62088190a1ecaf0995e3f112 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:21 a.m.