Triple
T7634633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morphou |
E172844
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
|
E680514
|
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: Güzelyurt | Statement: [Morphou, alternativeName, Güzelyurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Güzelyurt Context triple: [Morphou, alternativeName, Güzelyurt]
-
A.
Kanık
Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
-
B.
Menemen
Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
-
C.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
D.
Maltepe
Maltepe is a residential and commercial district on Istanbul’s Asian side along the Sea of Marmara.
-
E.
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.
- 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: Güzelyurt Triple: [Morphou, alternativeName, Güzelyurt]
Generated description
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Güzelyurt Target entity description: Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
A.
Kanık
Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
-
B.
Menemen
Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
-
C.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
D.
Maltepe
Maltepe is a residential and commercial district on Istanbul’s Asian side along the Sea of Marmara.
-
E.
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.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa83fcc8190a3f0bb20cbe1b2d6 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ab967108190bffea7676c44232b |
completed | March 29, 2026, 3:21 a.m. |
| NEDg | Description generation | batch_69c89b4795f48190a400f2f278aa203d |
completed | March 29, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89f844f1c8190a5a1458dfda9d88d |
completed | March 29, 2026, 3:41 a.m. |
Created at: March 27, 2026, 3:57 p.m.