Triple
T4057015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Riviera |
E84718
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Alanya
Alanya is a popular Mediterranean resort city in southern Turkey, known for its beaches, historic castle, and role as a major tourism hub.
|
E429092
|
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: Alanya | Statement: [Turkish Riviera, hasMajorCity, Alanya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alanya Context triple: [Turkish Riviera, hasMajorCity, Alanya]
-
A.
Antalya
Antalya is a major resort city on Turkey’s Mediterranean coast, known for its beaches, historic old town, and role as a gateway to the Turkish Riviera.
-
B.
Bodrum
Bodrum is a popular coastal city and resort town in southwestern Turkey, known for its beaches, nightlife, and historic landmarks such as Bodrum Castle.
-
C.
Izmir
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
D.
Gazipaşa
Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
-
E.
Nazilli
Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
- 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: Alanya Triple: [Turkish Riviera, hasMajorCity, Alanya]
Generated description
Alanya is a popular Mediterranean resort city in southern Turkey, known for its beaches, historic castle, and role as a major tourism hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alanya Target entity description: Alanya is a popular Mediterranean resort city in southern Turkey, known for its beaches, historic castle, and role as a major tourism hub.
-
A.
Antalya
Antalya is a major resort city on Turkey’s Mediterranean coast, known for its beaches, historic old town, and role as a gateway to the Turkish Riviera.
-
B.
Bodrum
Bodrum is a popular coastal city and resort town in southwestern Turkey, known for its beaches, nightlife, and historic landmarks such as Bodrum Castle.
-
C.
Izmir
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
D.
Gazipaşa
Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
-
E.
Nazilli
Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbad953c81909d7b42fae5db9f25 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6f942248190b390cf3cdbbbab5e |
completed | March 14, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69b5c779d28c81909fdb37adb045684c |
completed | March 14, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c7f6195481909167c972e1838cc9 |
completed | March 14, 2026, 8:41 p.m. |
Created at: March 9, 2026, 3:38 p.m.