Triple
T18948710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château des Tourelles |
E463585
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vernon town center |
—
|
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: Vernon town center | Statement: [Château des Tourelles, near, Vernon town center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vernon town center Context triple: [Château des Tourelles, near, Vernon town center]
-
A.
Vernon City Hall
Vernon City Hall is the primary government building in Vernon, British Columbia, housing the city’s administrative offices and serving as the central venue for municipal governance.
-
B.
Vernon
Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
-
C.
Vernon
Vernon is the surname of Justin Vernon, the American singer-songwriter best known as the founder and frontman of the indie folk band Bon Iver.
-
D.
Vernon
Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
-
E.
Vernon
chosen
Vernon is a small city in British Columbia, Canada, known for its lakes, outdoor recreation, and role as a service and tourism hub in the Okanagan region.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d541ef18819080b2e253dd23835d |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, noon