Triple
T11736814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsun Province |
E279047
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Salıpazarı
Salıpazarı is a town and district in northern Turkey known for its rural character and location within Samsun Province along the Black Sea region.
|
E944358
|
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: Salıpazarı | Statement: [Samsun Province, hasDistrict, Salıpazarı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salıpazarı Context triple: [Samsun Province, hasDistrict, Salıpazarı]
-
A.
Yenipazar
Yenipazar is a small town and district in northwestern Turkey known for its rural character and traditional Anatolian lifestyle.
-
B.
Beypazarı
Beypazarı is a historic district and town in central Turkey known for its well-preserved Ottoman-era houses, traditional markets, and mineral water.
-
C.
Pazaryeri
Pazaryeri is a small town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
D.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
E.
Ortaköy
Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
- 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: Salıpazarı Triple: [Samsun Province, hasDistrict, Salıpazarı]
Generated description
Salıpazarı is a town and district in northern Turkey known for its rural character and location within Samsun Province along the Black Sea region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salıpazarı Target entity description: Salıpazarı is a town and district in northern Turkey known for its rural character and location within Samsun Province along the Black Sea region.
-
A.
Yenipazar
Yenipazar is a small town and district in northwestern Turkey known for its rural character and traditional Anatolian lifestyle.
-
B.
Beypazarı
Beypazarı is a historic district and town in central Turkey known for its well-preserved Ottoman-era houses, traditional markets, and mineral water.
-
C.
Pazaryeri
Pazaryeri is a small town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
D.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
E.
Ortaköy
Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019b318188190bfb7effcf42974d2 |
completed | April 28, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69f0319271788190a105828ae7582668 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05aa351888190a31092e6a9aee26b |
completed | April 28, 2026, 6:58 a.m. |
Created at: April 8, 2026, 9:41 p.m.