Triple
T14497365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sedro-Woolley, Washington |
E359535
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object |
Woolley (former town)
Woolley was a former logging and railroad town in Washington State that later merged with nearby Sedro to form the present-day city of Sedro-Woolley.
|
E1103271
|
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: Woolley (former town) | Statement: [Sedro-Woolley, Washington, namedFor, Woolley (former town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woolley (former town) Context triple: [Sedro-Woolley, Washington, namedFor, Woolley (former town)]
-
A.
Woolford
Woolford is a small rural community located within Cardston County in southern Alberta, Canada.
-
B.
Warley Town
Warley Town is a small village in Calderdale, West Yorkshire, England, known for its hillside setting above Halifax and traditional stone-built houses.
-
C.
Howley
Howley is an English surname most notably associated with William Howley, a 19th-century Archbishop of Canterbury.
-
D.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
E.
Welling
Welling is a small rural community located within Cardston County in southern Alberta, Canada.
- 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: Woolley (former town) Triple: [Sedro-Woolley, Washington, namedFor, Woolley (former town)]
Generated description
Woolley was a former logging and railroad town in Washington State that later merged with nearby Sedro to form the present-day city of Sedro-Woolley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woolley (former town) Target entity description: Woolley was a former logging and railroad town in Washington State that later merged with nearby Sedro to form the present-day city of Sedro-Woolley.
-
A.
Woolford
Woolford is a small rural community located within Cardston County in southern Alberta, Canada.
-
B.
Warley Town
Warley Town is a small village in Calderdale, West Yorkshire, England, known for its hillside setting above Halifax and traditional stone-built houses.
-
C.
Howley
Howley is an English surname most notably associated with William Howley, a 19th-century Archbishop of Canterbury.
-
D.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
E.
Welling
Welling is a small rural community located within Cardston County in southern Alberta, Canada.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f82453481909a3e1b032f30a7a5 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd708521c881909863b7cd3fc4a313 |
completed | May 8, 2026, 5:11 a.m. |
Created at: April 10, 2026, 1:21 a.m.