Triple
T14364849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eskişehir Province |
E356204
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Odunpazarı
Odunpazarı is a historic central district of Eskişehir in northwestern Turkey, known for its traditional Ottoman houses and cultural heritage.
|
E1104707
|
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: Odunpazarı | Statement: [Eskişehir Province, contains, Odunpazarı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odunpazarı Context triple: [Eskişehir Province, contains, Odunpazarı]
-
A.
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
-
B.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
C.
Ortaca
Ortaca is a town and district in southwestern Turkey known for its proximity to popular Aegean and Mediterranean coastal resorts and natural attractions.
-
D.
Karapınar
Karapınar is a district and town in central Turkey known for its arid landscape, sand dunes, and sinkholes within Konya Province.
-
E.
Gürbulak
Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
- 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: Odunpazarı Triple: [Eskişehir Province, contains, Odunpazarı]
Generated description
Odunpazarı is a historic central district of Eskişehir in northwestern Turkey, known for its traditional Ottoman houses and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Odunpazarı Target entity description: Odunpazarı is a historic central district of Eskişehir in northwestern Turkey, known for its traditional Ottoman houses and cultural heritage.
-
A.
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
-
B.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
C.
Ortaca
Ortaca is a town and district in southwestern Turkey known for its proximity to popular Aegean and Mediterranean coastal resorts and natural attractions.
-
D.
Karapınar
Karapınar is a district and town in central Turkey known for its arid landscape, sand dunes, and sinkholes within Konya Province.
-
E.
Gürbulak
Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a36382481909a39ba5e51084051 |
completed | May 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69fd7ae2ce048190ba802c4639c128d6 |
completed | May 8, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7b7147448190952a395f72662014 |
completed | May 8, 2026, 5:58 a.m. |
Created at: April 10, 2026, 1:15 a.m.