Triple
T13081729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Chew |
E310222
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Publow
Publow is a small rural village in Somerset, England, known for its historic church and scenic setting in the Chew Valley.
|
E1019646
|
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: Publow | Statement: [River Chew, flowsThrough, Publow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Publow Context triple: [River Chew, flowsThrough, Publow]
-
A.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
B.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
C.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
D.
Shorenstein
Shorenstein is a prominent American family name most closely associated with influential real estate development, media, and philanthropic activities, particularly in San Francisco.
-
E.
Lipsett
Lipsett is a surname of English and Irish origin borne by various notable individuals across fields such as the military, politics, and the arts.
- 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: Publow Triple: [River Chew, flowsThrough, Publow]
Generated description
Publow is a small rural village in Somerset, England, known for its historic church and scenic setting in the Chew Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Publow Target entity description: Publow is a small rural village in Somerset, England, known for its historic church and scenic setting in the Chew Valley.
-
A.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
B.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
C.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
D.
Shorenstein
Shorenstein is a prominent American family name most closely associated with influential real estate development, media, and philanthropic activities, particularly in San Francisco.
-
E.
Lipsett
Lipsett is a surname of English and Irish origin borne by various notable individuals across fields such as the military, politics, and the arts.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60e7b48819087e4583a5736c1df |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d76cc33c8190ac8113094bcf868b |
completed | May 3, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d8013e9481908f5edcce7247212d |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 9, 2026, 9:01 p.m.