Triple
T14664472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welbeck Abbey |
E344330
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Welbeck
Welbeck is an English country estate and civil parish in Nottinghamshire, historically known for its grand abbey, extensive parkland, and association with the Dukes of Portland.
|
E1112777
|
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: Welbeck | Statement: [Welbeck Abbey, locatedIn, Welbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welbeck Context triple: [Welbeck Abbey, locatedIn, Welbeck]
-
A.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
B.
Eckersley
Eckersley is a surname most prominently associated with Hall of Fame Major League Baseball pitcher and broadcaster Dennis Eckersley.
-
C.
Mansel
Mansel is an English surname historically associated with several notable figures, including philosophers, clergymen, and politicians.
-
D.
Ewbank
Ewbank is a surname most notably associated with Weeb Ewbank, a Hall of Fame American football coach.
-
E.
Hailwood
Hailwood is the surname of legendary British motorcycle racer Mike Hailwood, widely regarded as one of the greatest riders in the history of the sport.
- 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: Welbeck Triple: [Welbeck Abbey, locatedIn, Welbeck]
Generated description
Welbeck is an English country estate and civil parish in Nottinghamshire, historically known for its grand abbey, extensive parkland, and association with the Dukes of Portland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Welbeck Target entity description: Welbeck is an English country estate and civil parish in Nottinghamshire, historically known for its grand abbey, extensive parkland, and association with the Dukes of Portland.
-
A.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
B.
Eckersley
Eckersley is a surname most prominently associated with Hall of Fame Major League Baseball pitcher and broadcaster Dennis Eckersley.
-
C.
Mansel
Mansel is an English surname historically associated with several notable figures, including philosophers, clergymen, and politicians.
-
D.
Ewbank
Ewbank is a surname most notably associated with Weeb Ewbank, a Hall of Fame American football coach.
-
E.
Hailwood
Hailwood is the surname of legendary British motorcycle racer Mike Hailwood, widely regarded as one of the greatest riders in the history of the sport.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd9b5d7988190927e88feef6a972f |
completed | May 8, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fddaa56f4c8190ba56af6a7a56a201 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:27 a.m.