Triple
T14364856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eskişehir Province |
E356204
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Beylikova
Beylikova is a small town and district in central Turkey known for its agricultural activities and location within Eskişehir Province.
|
E1095871
|
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: Beylikova | Statement: [Eskişehir Province, contains, Beylikova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beylikova Context triple: [Eskişehir Province, contains, Beylikova]
-
A.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
B.
Orhangazi
Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa Province.
-
C.
Sulakyurt
Sulakyurt is a small town and district in central Turkey, located within Kırıkkale Province.
-
D.
Kaynarca
Kaynarca is a small town and district in northwestern Turkey, located within Sakarya Province and known for its rural character and agricultural activities.
-
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: Beylikova Triple: [Eskişehir Province, contains, Beylikova]
Generated description
Beylikova is a small town and district in central Turkey known for its agricultural activities and location within Eskişehir Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beylikova Target entity description: Beylikova is a small town and district in central Turkey known for its agricultural activities and location within Eskişehir Province.
-
A.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
B.
Orhangazi
Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa Province.
-
C.
Sulakyurt
Sulakyurt is a small town and district in central Turkey, located within Kırıkkale Province.
-
D.
Kaynarca
Kaynarca is a small town and district in northwestern Turkey, located within Sakarya Province and known for its rural character and agricultural activities.
-
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_69fd4c4cb0c4819094d59b4b1d43588b |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4d912ff08190b3594dd134ef7e40 |
completed | May 8, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e7e7c508190a42070a2f2b33425 |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 10, 2026, 1:15 a.m.