Triple
T34439867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec Route 30 |
E884066
|
entity |
| Predicate | completedAsContinuousBypass |
P181102
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Quebec Route 30, completedAsContinuousBypass, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completedAsContinuousBypass Context triple: [Quebec Route 30, completedAsContinuousBypass, 2012]
-
A.
completedAsContinuousRoute
Indicates that an activity or journey was carried out in one uninterrupted, continuous sequence without breaks or segmentation.
-
B.
completedAsContinuousTrail
Indicates that the action or route was finished in one uninterrupted, continuous sequence without breaks or gaps.
-
C.
completedAsContinuousMotorway
Indicates that a road segment has been fully built and functions as an unbroken, continuously drivable motorway.
-
D.
continuedThrough
Indicates that an event, state, or process persisted without interruption across or beyond a specified point, period, or boundary.
-
E.
bypassedSince
Indicates that one entity has been avoided, skipped, or circumvented by another entity starting from a specific point in time and continuing thereafter.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: May 1, 2026, 2 a.m.