Triple
T3771470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Dewey |
E83206
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Montpelier, Vermont |
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, Vermont | Statement: [George Dewey, birthPlace, Montpelier, Vermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montpelier, Vermont Context triple: [George Dewey, birthPlace, Montpelier, Vermont]
-
A.
Montpelier, Vermont
chosen
Montpelier, Vermont is the small, historic state capital of Vermont, known for its New England charm and distinctive gold-domed statehouse.
-
B.
Burlington, Vermont
Burlington, Vermont is the largest city in Vermont, known for its vibrant arts scene, waterfront on Lake Champlain, and home to the University of Vermont.
-
C.
Salisbury, Vermont
Salisbury, Vermont is a small rural town in Addison County known for its scenic landscapes, including Lake Dunmore and Branbury State Park.
-
D.
New Haven, Vermont
New Haven, Vermont is a small rural town in Addison County known for its agricultural landscape and views of the Green Mountains.
-
E.
Richmond, Vermont
Richmond, Vermont is a small New England town in northwestern Vermont known for its rural character, historic architecture, and proximity to the Green Mountains.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc307cf8819090730b5e697bb197 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5287908819084319b8dfa407635 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.