Triple
T9024289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Nemo Conservation Area |
E216004
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Burlington |
E128943
|
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: Burlington | Statement: [Mount Nemo Conservation Area, nearestCity, Burlington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burlington Context triple: [Mount Nemo Conservation Area, nearestCity, Burlington]
-
A.
Burlington
chosen
Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
-
B.
Burlington
Burlington is a small city in southeastern Wisconsin known for its historic downtown, chocolate festival, and role as a local commercial and community hub.
-
C.
Burlington
Burlington is a small city in northwestern Washington State known as a commercial hub for the surrounding Skagit Valley region.
-
D.
Burlington
Burlington is a small, primarily residential town in central Connecticut known for its rural character and access to outdoor recreation areas.
-
E.
Burlington
Burlington is a city in northwestern Vermont on the shores of Lake Champlain, known as the state’s largest city and a regional cultural and economic center.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffda9697c81908a1a9e447519ce05 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:07 p.m.