Triple
T13016632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braunston Tunnel |
E322568
|
entity |
| Predicate | numberOfTowpaths |
P107464
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Braunston Tunnel, numberOfTowpaths, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTowpaths Context triple: [Braunston Tunnel, numberOfTowpaths, 0]
-
A.
hasTowpath
Indicates that a waterway or canal is accompanied by a path running alongside it, typically used for towing boats.
-
B.
numberOfRoadways
Indicates the count of distinct roadways associated with or present at a given entity or location.
-
C.
hasTunnelsOnRoad
Indicates that a road includes or passes through one or more tunnels along its route.
-
D.
laneCount
Indicates the number of parallel lanes associated with a given road or roadway segment.
-
E.
numberOfRoutes
Indicates the total count of distinct routes or paths associated with a given entity or between specified entities.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:51 p.m.