Triple
T9491165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauport |
E228889
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object | Route 138 |
E600212
|
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: Route 138 | Statement: [Beauport, roadAccess, Route 138]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 138 Context triple: [Beauport, roadAccess, Route 138]
-
A.
Route 138
chosen
Route 138 is a major provincial highway in Quebec that runs along the north shore of the Saint Lawrence River, connecting numerous communities including Sainte-Anne-de-Beaupré.
-
B.
Route 136
Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
-
C.
Route 132
Route 132 is a major commercial roadway in Hyannis, Massachusetts, serving as a key access route to shopping centers and businesses on Cape Cod.
-
D.
Route 13
Route 13 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and neighborhoods to the southwest.
-
E.
Route 147
Route 147 is a numbered roadway that serves as a key connector passing through the Uruca area.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c89ec48190a2ad49394cab9c56 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d27c0808190baf5ae04a1b915bb |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:56 p.m.