Triple
T11287214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sivas Province |
E267227
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Koyulhisar
Koyulhisar is a town and district in central Turkey known for its mountainous terrain and location within the historical region of Sivas.
|
E916483
|
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: Koyulhisar | Statement: [Sivas Province, containsSettlement, Koyulhisar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koyulhisar Context triple: [Sivas Province, containsSettlement, Koyulhisar]
-
A.
Afyonkarahisar
Afyonkarahisar is a historic city in western Turkey known for its strategic location, thermal springs, and prominent rock fortress overlooking the urban center.
-
B.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
C.
Şereflikoçhisar
Şereflikoçhisar is a district and town in central Turkey known for its proximity to the vast Tuz Gölü (Salt Lake) and its salt production.
-
D.
Savaştepe
Savaştepe is a town and district in western Turkey, located within the Marmara Region.
-
E.
Seferihisar
Seferihisar is a coastal town in Turkey’s İzmir Province, known as one of the country’s first officially designated “Cittaslow” (slow city) communities.
- 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: Koyulhisar Triple: [Sivas Province, containsSettlement, Koyulhisar]
Generated description
Koyulhisar is a town and district in central Turkey known for its mountainous terrain and location within the historical region of Sivas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koyulhisar Target entity description: Koyulhisar is a town and district in central Turkey known for its mountainous terrain and location within the historical region of Sivas.
-
A.
Afyonkarahisar
Afyonkarahisar is a historic city in western Turkey known for its strategic location, thermal springs, and prominent rock fortress overlooking the urban center.
-
B.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
C.
Şereflikoçhisar
Şereflikoçhisar is a district and town in central Turkey known for its proximity to the vast Tuz Gölü (Salt Lake) and its salt production.
-
D.
Savaştepe
Savaştepe is a town and district in western Turkey, located within the Marmara Region.
-
E.
Seferihisar
Seferihisar is a coastal town in Turkey’s İzmir Province, known as one of the country’s first officially designated “Cittaslow” (slow city) communities.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f48e190c8190b46d4286e2acaef1 |
completed | April 19, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_69e4ff1e17e88190af1dd4b8bd8e5ca6 |
completed | April 19, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e500f5cfe481909c8e6dfd530084bc |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 8, 2026, 9:32 p.m.