Triple
T7048559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermonter |
E163704
|
entity |
| Predicate | borderConnectionPlanned |
P74737
|
FINISHED |
| Object | potential future extension to Montreal, Quebec |
—
|
LITERAL 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: potential future extension to Montreal, Quebec | Statement: [Vermonter, borderConnectionPlanned, potential future extension to Montreal, Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderConnectionPlanned Context triple: [Vermonter, borderConnectionPlanned, potential future extension to Montreal, Quebec]
-
A.
borderStateConnection
Indicates a relationship where one state directly borders or shares a boundary with another state.
-
B.
borderEstablished
Indicates that a formal boundary between two geographic or political entities has been officially defined and put into effect.
-
C.
crossBorderFacilityConnectsTo
Indicates that a cross-border facility provides a direct physical or operational connection between two locations or infrastructures across a border.
-
D.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
E.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
- F. None of above. chosen
Provenance (4 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:37 p.m.