Triple
T3644958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Bure |
E77275
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Belaugh
Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
|
E376253
|
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: Belaugh | Statement: [River Bure, flowsThrough, Belaugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belaugh Context triple: [River Bure, flowsThrough, Belaugh]
-
A.
Laughing Matter
Laughing Matter is a studio album by the American experimental rock band Wand, noted for its atmospheric sound and introspective songwriting.
-
B.
Cry to Laugh
"Cry to Laugh" is a song featured on the album *Heigh Ho* by American singer-songwriter Blake Mills.
-
C.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
D.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
-
E.
Laff
Laff is an American digital multicast television network specializing in comedy programming, including sitcoms and comedic movies.
- 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: Belaugh Triple: [River Bure, flowsThrough, Belaugh]
Generated description
Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belaugh Target entity description: Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
-
A.
Laughing Matter
Laughing Matter is a studio album by the American experimental rock band Wand, noted for its atmospheric sound and introspective songwriting.
-
B.
Cry to Laugh
"Cry to Laugh" is a song featured on the album *Heigh Ho* by American singer-songwriter Blake Mills.
-
C.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
D.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
-
E.
Laff
Laff is an American digital multicast television network specializing in comedy programming, including sitcoms and comedic movies.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35da84c81908950de92ba171fa3 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f35985081909a499f9c1668b589 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b4520fb96481909f54af01fc4a3bbe |
completed | March 13, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45df65f5c8190a9f25e7da926222a |
completed | March 13, 2026, 6:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.