Triple
T5238796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kocaeli Province |
E118288
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Çayırova
Çayırova is a district and rapidly growing industrial-urban area located in Kocaeli Province in northwestern Turkey.
|
E505646
|
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: Çayırova | Statement: [Kocaeli Province, hasCity, Çayırova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çayırova Context triple: [Kocaeli Province, hasCity, Çayırova]
-
A.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
B.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
C.
Kalecik
Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
-
D.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
E.
Doğanhisar
Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
- 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: Çayırova Triple: [Kocaeli Province, hasCity, Çayırova]
Generated description
Çayırova is a district and rapidly growing industrial-urban area located in Kocaeli Province in northwestern Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Çayırova Target entity description: Çayırova is a district and rapidly growing industrial-urban area located in Kocaeli Province in northwestern Turkey.
-
A.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
B.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
-
C.
Kalecik
Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
-
D.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
E.
Doğanhisar
Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
- 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.