Triple
T6825022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VCFA |
E156992
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Montpelier |
E4325
|
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: Montpelier | Statement: [VCFA, city, Montpelier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montpelier Context triple: [VCFA, city, Montpelier]
-
A.
Montpelier
Montpelier is the historic Virginia estate of James Madison, the fourth president of the United States and a key architect of the U.S. Constitution.
-
B.
Montpelier
Montpelier is a residential inner-city area of Bristol, England, known for its diverse community, distinctive Victorian and Georgian architecture, and vibrant arts and music scene.
-
C.
Montpelier, Vermont
chosen
Montpelier, Vermont is the small, historic state capital of Vermont, known for its New England charm and distinctive gold-domed statehouse.
-
D.
Augusta
Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
-
E.
Augusta
Augusta is a small coastal town in the far southwest of Western Australia, known for its scenic coastline, proximity to Cape Leeuwin, and role as a popular tourist and fishing destination.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d581ea5881908ba78c6bf1ce58ee |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f12a148190adbb05782a2041b6 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.