Triple
T1348967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont State House |
E28836
|
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: [Vermont State House, city, Montpelier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montpelier Context triple: [Vermont State House, city, Montpelier]
-
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.
Augusta
Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
-
C.
Augusta, Maine
Augusta, Maine is a small city in the northeastern United States known as the capital of the state of Maine and situated along the Kennebec River.
-
D.
Monroe
Monroe is a small city in North Carolina that serves as part of the greater Charlotte metropolitan area.
-
E.
Monroe
Monroe is a Chicago 'L' rapid transit station located in the Loop and served by the Chicago Transit Authority's Red Line.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c268745481908be649526c18e558 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce6a1dd48190b17ac5a7cf3ab933 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.