Triple
T4526894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konya Province |
E106200
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Güneysınır
Güneysınır is a rural district and municipality in central Turkey known for its agricultural landscape within Konya Province.
|
E449761
|
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: Güneysınır | Statement: [Konya Province, hasDistrict, Güneysınır]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Güneysınır Context triple: [Konya Province, hasDistrict, Güneysınır]
-
A.
Sarnıç
Sarnıç is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, known for its vivid portrayals of everyday life and marginalized characters in Istanbul.
-
B.
Gelibolu
Gelibolu is a historic coastal town in Turkey located on the Gallipoli Peninsula, known for its strategic position on the Dardanelles and its role in Ottoman and World War I history.
-
C.
Le Rize
Le Rize is a cultural and heritage center in Villeurbanne, France, dedicated to local history, memory, and community-focused artistic and educational activities.
-
D.
Keban
Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
-
E.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
- 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: Güneysınır Triple: [Konya Province, hasDistrict, Güneysınır]
Generated description
Güneysınır is a rural district and municipality in central Turkey known for its agricultural landscape within Konya Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Güneysınır Target entity description: Güneysınır is a rural district and municipality in central Turkey known for its agricultural landscape within Konya Province.
-
A.
Sarnıç
Sarnıç is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, known for its vivid portrayals of everyday life and marginalized characters in Istanbul.
-
B.
Gelibolu
Gelibolu is a historic coastal town in Turkey located on the Gallipoli Peninsula, known for its strategic position on the Dardanelles and its role in Ottoman and World War I history.
-
C.
Le Rize
Le Rize is a cultural and heritage center in Villeurbanne, France, dedicated to local history, memory, and community-focused artistic and educational activities.
-
D.
Keban
Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
-
E.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57760f4481908f69ce82be63d7f8 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4577d0c8190a88cdf4523446329 |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda8367b988190bd6859581ba9a38e |
completed | March 20, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda8b4d064819083de58ee18458fa8 |
completed | March 20, 2026, 8:06 p.m. |
Created at: March 20, 2026, 1:03 p.m.