Triple
T4804265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danby |
E106908
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Danby Beacon
Danby Beacon is a historic hilltop landmark and former coastal warning beacon site on the North York Moors in North Yorkshire, England.
|
E106908
|
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: Danby Beacon | Statement: [Danby, locatedNear, Danby Beacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danby Beacon Context triple: [Danby, locatedNear, Danby Beacon]
-
A.
Danby
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
-
B.
Danby
Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
-
C.
Blodgett
Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
-
D.
Beaverhouse
Beaverhouse is a remote access point and entry station on the western side of Quetico Provincial Park in northwestern Ontario, Canada.
-
E.
Brightwell
Brightwell is a small rural village and civil parish located in the county of Suffolk in eastern England.
- 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: Danby Beacon Triple: [Danby, locatedNear, Danby Beacon]
Generated description
Danby Beacon is a historic hilltop landmark and former coastal warning beacon site on the North York Moors in North Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danby Beacon Target entity description: Danby Beacon is a historic hilltop landmark and former coastal warning beacon site on the North York Moors in North Yorkshire, England.
-
A.
Danby
chosen
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
-
B.
Danby
Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
-
C.
Blodgett
Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
-
D.
Beaverhouse
Beaverhouse is a remote access point and entry station on the western side of Quetico Provincial Park in northwestern Ontario, Canada.
-
E.
Brightwell
Brightwell is a small rural village and civil parish located in the county of Suffolk in eastern England.
- F. None of above.
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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c664c3c81908e4d9a7c8c19744b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be778861a88190bf7c9f04d903a5e2 |
completed | March 21, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69be780ae75481909eb49592d052a572 |
completed | March 21, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be783867c481908440f6e92ba5ddb8 |
completed | March 21, 2026, 10:51 a.m. |
Created at: March 20, 2026, 1:23 p.m.