Triple
T12618008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memmingen |
E301302
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Karataş
Karataş is a coastal town and district in Adana Province, southern Turkey, known for its fishing, agriculture, and Mediterranean beaches.
|
E1047811
|
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: Karataş | Statement: [Memmingen, twinTown, Karataş]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karataş Context triple: [Memmingen, twinTown, Karataş]
-
A.
Gölcük
Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
-
B.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
C.
Güzelyurt
Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
-
D.
Mecidiye
Mecidiye is the former Ottoman-era name of the Romanian city now known as Medgidia, located in the Dobruja region.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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: Karataş Triple: [Memmingen, twinTown, Karataş]
Generated description
Karataş is a coastal town and district in Adana Province, southern Turkey, known for its fishing, agriculture, and Mediterranean beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karataş Target entity description: Karataş is a coastal town and district in Adana Province, southern Turkey, known for its fishing, agriculture, and Mediterranean beaches.
-
A.
Gölcük
Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
-
B.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
C.
Güzelyurt
Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
-
D.
Mecidiye
Mecidiye is the former Ottoman-era name of the Romanian city now known as Medgidia, located in the Dobruja region.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d78433081909ae0278e9e1abacb |
completed | May 3, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69f75ee662e88190ae8006f056860389 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7629cf90881908a341a565a84aede |
completed | May 3, 2026, 2:58 p.m. |
Created at: April 9, 2026, 5:13 p.m.