Triple
T13849174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Wythe |
E332888
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Williamsburg, Virginia |
E33584
|
NE FINISHED |
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: Williamsburg, Virginia | Statement: [George Wythe, workLocation, Williamsburg, Virginia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamsburg, Virginia Context triple: [George Wythe, workLocation, Williamsburg, Virginia]
-
A.
Williamsburg
chosen
Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
-
B.
Williamsburg
Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
-
C.
Williamsburg
Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
-
D.
Williamsburg
Williamsburg is a small town located in Fremont County, Colorado, known for its rural character and proximity to the Rocky Mountains.
-
E.
Petersburg, Virginia
Petersburg, Virginia is an independent city in south-central Virginia known for its strategic importance and extensive trench warfare during the American Civil War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac802b7081909b36eebe85374594 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 10:14 p.m.