Triple
T17855854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E445934
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Woodbridge |
—
|
NE NERFINISHED |
How this triple was built (2 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: Woodbridge | Statement: [Suffolk, containsSettlement, Woodbridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodbridge Context triple: [Suffolk, containsSettlement, Woodbridge]
-
A.
Woodbridge
Woodbridge is a suburban community in Prince William County, Virginia, known for its residential neighborhoods, shopping centers, and proximity to Washington, D.C.
-
B.
Woodbridge
Woodbridge is a suburban community within the city of Vaughan, Ontario, known for its residential neighborhoods, commercial areas, and strong Italian-Canadian presence.
-
C.
Woodbridge
Woodbridge is a suburban town in south-central Connecticut known for its residential character, open spaces, and proximity to New Haven.
-
D.
Woodbridge
chosen
Woodbridge is a historic market town in Suffolk, England, situated on the River Deben and known for its maritime heritage and proximity to the Sutton Hoo archaeological site.
-
E.
Woodbridge
Woodbridge is the given first name of American film director W. S. Van Dyke, known for classic Hollywood films such as "The Thin Man."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978bd5e081909e192f6aada5235f |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.