Triple
T5541950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripon, North Yorkshire |
E145308
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
RIPON
RIPON is a historic cathedral city in North Yorkshire, England, known for Ripon Cathedral and its traditional market town character.
|
E528183
|
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: RIPON | Statement: [Ripon, North Yorkshire, hasPostTown, RIPON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RIPON Context triple: [Ripon, North Yorkshire, hasPostTown, RIPON]
-
A.
Ripon, Wisconsin
Ripon, Wisconsin is a small city in central Wisconsin historically recognized as the birthplace of the Republican Party in the United States.
-
B.
Dunellen
Dunellen is a small borough in central New Jersey known for its residential character and commuter access to the New York metropolitan area.
-
C.
Hornstull
Hornstull is a vibrant waterfront neighborhood on the western edge of Södermalm in central Stockholm, known for its bars, restaurants, and cultural venues.
-
D.
Branting
Branting is a Swedish surname most notably associated with Hjalmar Branting, a pioneering Social Democratic politician and Nobel Peace Prize laureate.
-
E.
Racine
Racine is a renowned 17th-century French dramatist celebrated for his classical tragedies such as "Phèdre" and "Andromaque."
- 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: RIPON Triple: [Ripon, North Yorkshire, hasPostTown, RIPON]
Generated description
RIPON is a historic cathedral city in North Yorkshire, England, known for Ripon Cathedral and its traditional market town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RIPON Target entity description: RIPON is a historic cathedral city in North Yorkshire, England, known for Ripon Cathedral and its traditional market town character.
-
A.
Ripon, Wisconsin
Ripon, Wisconsin is a small city in central Wisconsin historically recognized as the birthplace of the Republican Party in the United States.
-
B.
Dunellen
Dunellen is a small borough in central New Jersey known for its residential character and commuter access to the New York metropolitan area.
-
C.
Hornstull
Hornstull is a vibrant waterfront neighborhood on the western edge of Södermalm in central Stockholm, known for its bars, restaurants, and cultural venues.
-
D.
Branting
Branting is a Swedish surname most notably associated with Hjalmar Branting, a pioneering Social Democratic politician and Nobel Peace Prize laureate.
-
E.
Racine
Racine is a renowned 17th-century French dramatist celebrated for his classical tragedies such as "Phèdre" and "Andromaque."
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc7e26481908cec8d0483170ea5 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0281fb73881909df8e4f98b27ce1e |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c033df2c7881909660eb931908318c |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c034640cd081909b44ff23e9005e57 |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:35 p.m.