Triple
T20533921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valleyfield mining area |
E504141
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Valleyfield
Valleyfield is a locality known for its association with the historic Valleyfield mining area.
|
E1435360
|
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: Valleyfield | Statement: [Valleyfield mining area, locatedNear, Valleyfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valleyfield Context triple: [Valleyfield mining area, locatedNear, Valleyfield]
-
A.
Bowmanville
Bowmanville is a community in Ontario, Canada, serving as the main urban and administrative centre of the municipality of Clarington in the Durham Region.
-
B.
Eganville
Eganville is a small community in eastern Ontario, Canada, known for its location along the Bonnechere River and nearby limestone caves.
-
C.
Welland
Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
-
D.
Welland
Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
-
E.
Botwood
Botwood is a small coastal town in central Newfoundland and Labrador, Canada, historically known as a key seaport and World War II military base.
- 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: Valleyfield Triple: [Valleyfield mining area, locatedNear, Valleyfield]
Generated description
Valleyfield is a locality known for its association with the historic Valleyfield mining area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valleyfield Target entity description: Valleyfield is a locality known for its association with the historic Valleyfield mining area.
-
A.
Bowmanville
Bowmanville is a community in Ontario, Canada, serving as the main urban and administrative centre of the municipality of Clarington in the Durham Region.
-
B.
Eganville
Eganville is a small community in eastern Ontario, Canada, known for its location along the Bonnechere River and nearby limestone caves.
-
C.
Welland
Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
-
D.
Welland
Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
-
E.
Botwood
Botwood is a small coastal town in central Newfoundland and Labrador, Canada, historically known as a key seaport and World War II military base.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06d30508190a13d1a9855b441fb |
completed | April 20, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d4c1a2c8190a8d6d6e19e67942f |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089e1dc3048190abb1c0bad8d4a3ed |
completed | May 16, 2026, 4:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089ea8b9808190a20982193eaf9e22 |
completed | May 16, 2026, 4:43 p.m. |
Created at: April 16, 2026, 11:37 a.m.