Triple
T5238799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kocaeli Province |
E118288
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kartepe
Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
|
E505648
|
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: Kartepe | Statement: [Kocaeli Province, hasCity, Kartepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kartepe Context triple: [Kocaeli Province, hasCity, Kartepe]
-
A.
Toprakkale
Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
-
B.
Boğazköy
Boğazköy is an important archaeological site in central Turkey best known as the location of Hattusa, the former capital of the Hittite Empire.
-
C.
Nallıhan
Nallıhan is a district and town in Turkey known for its natural landscapes, including colorful rock formations and rich birdlife, located within Ankara Province.
-
D.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
E.
Niksar
Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
- 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: Kartepe Triple: [Kocaeli Province, hasCity, Kartepe]
Generated description
Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kartepe Target entity description: Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
-
A.
Toprakkale
Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
-
B.
Boğazköy
Boğazköy is an important archaeological site in central Turkey best known as the location of Hattusa, the former capital of the Hittite Empire.
-
C.
Nallıhan
Nallıhan is a district and town in Turkey known for its natural landscapes, including colorful rock formations and rich birdlife, located within Ankara Province.
-
D.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
E.
Niksar
Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b290b88819095bc99c234260d25 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef823afd88190a3a41e7fff09d449 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef933c4008190bea3a5a7e5de17e6 |
completed | March 21, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef9a600908190bdaff60b7a514538 |
completed | March 21, 2026, 8:03 p.m. |
Created at: March 20, 2026, 1:49 p.m.