Triple
T1392691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Virginia |
E29995
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Charlottesville |
E78420
|
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: Charlottesville | Statement: [University of Virginia, city, Charlottesville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlottesville Context triple: [University of Virginia, city, Charlottesville]
-
A.
Charlottesville, Virginia
chosen
Charlottesville, Virginia is an independent city in central Virginia best known as the home of the University of Virginia and the historic estate of Monticello.
-
B.
Richmond
Richmond is an industrial and residential city in California’s East Bay region, known for its waterfront along San Francisco Bay and its diverse, working-class communities.
-
C.
Richmond
Richmond is a town in southwest London, England, known for its historic riverside, expansive parkland, and affluent residential character.
-
D.
Richmond
Richmond is a coastal city in Metro Vancouver, British Columbia, known for its large Asian community, busy international airport, and extensive dike-protected waterfront.
-
E.
Richmond
Richmond is a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c360a7f08190ab7e903764b06fdf |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb8a58ec81908b2bb5c27283bafa |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:59 p.m.