Triple
T19417512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fowey |
E485759
|
entity |
| Predicate | hasTwinning |
P919
|
FINISHED |
| Object |
Benodet
Bénodet is a coastal resort town in Brittany, northwestern France, known for its beaches, marina, and seaside tourism.
|
E1375012
|
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: Benodet | Statement: [Fowey, hasTwinning, Benodet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benodet Context triple: [Fowey, hasTwinning, Benodet]
-
A.
Bered
Bered is a lesser-known biblical locality mentioned in the Book of Genesis, situated in the Negev region along the route between Canaan and Egypt.
-
B.
Beban
Beban is the surname of Gary Beban, a former American football quarterback and Heisman Trophy winner.
-
C.
Begnadalen
Begnadalen is a small rural village in Sør-Aurdal municipality in Innlandet county, Norway, situated in a valley along the Begna River.
-
D.
Kulpin
Kulpin is a village in the Bačka region of northern Serbia, known for its agricultural character and traditional rural architecture.
-
E.
Bude
Bude is a seaside town and popular holiday resort on the north coast of Cornwall in southwest England, known for its beaches and surfing.
- 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: Benodet Triple: [Fowey, hasTwinning, Benodet]
Generated description
Bénodet is a coastal resort town in Brittany, northwestern France, known for its beaches, marina, and seaside tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benodet Target entity description: Bénodet is a coastal resort town in Brittany, northwestern France, known for its beaches, marina, and seaside tourism.
-
A.
Bered
Bered is a lesser-known biblical locality mentioned in the Book of Genesis, situated in the Negev region along the route between Canaan and Egypt.
-
B.
Beban
Beban is the surname of Gary Beban, a former American football quarterback and Heisman Trophy winner.
-
C.
Begnadalen
Begnadalen is a small rural village in Sør-Aurdal municipality in Innlandet county, Norway, situated in a valley along the Begna River.
-
D.
Kulpin
Kulpin is a village in the Bačka region of northern Serbia, known for its agricultural character and traditional rural architecture.
-
E.
Bude
Bude is a seaside town and popular holiday resort on the north coast of Cornwall in southwest England, known for its beaches and surfing.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733ce2e6081909e8baebf638747f1 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0734cfc2488190a488c40431a0b612 |
completed | May 15, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0735c38b7881908489916ff2f2883e |
completed | May 15, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.