Triple
T4059671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galloway Hills |
E84778
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Silver Flowe
Silver Flowe is a remote and ecologically important blanket bog and wetland complex in southwest Scotland, noted for its rare habitats and wildlife.
|
E410381
|
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: Silver Flowe | Statement: [Galloway Hills, contains, Silver Flowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Flowe Context triple: [Galloway Hills, contains, Silver Flowe]
-
A.
Silverthorn
Silverthorn is a residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its hilly streets and diverse community.
-
B.
Fire Flower
The Fire Flower is a recurring power-up in the Super Mario series that lets Mario throw fireballs to defeat enemies and interact with the environment.
-
C.
Sylver
Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
-
D.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
E.
Serein
Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
- 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: Silver Flowe Triple: [Galloway Hills, contains, Silver Flowe]
Generated description
Silver Flowe is a remote and ecologically important blanket bog and wetland complex in southwest Scotland, noted for its rare habitats and wildlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver Flowe Target entity description: Silver Flowe is a remote and ecologically important blanket bog and wetland complex in southwest Scotland, noted for its rare habitats and wildlife.
-
A.
Silverthorn
Silverthorn is a residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its hilly streets and diverse community.
-
B.
Fire Flower
The Fire Flower is a recurring power-up in the Super Mario series that lets Mario throw fireballs to defeat enemies and interact with the environment.
-
C.
Sylver
Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
-
D.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
E.
Serein
Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd32c0c8190bc575974ccf831b3 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a98c488190a7e77cd46ff998bc |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637e72948190989169b0a46916a8 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563fc4cb081908ba0f1a799338a8c |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.