Triple
T583503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Blanc Tunnel |
E15106
|
entity |
| Predicate | minimumDistanceBetweenVehicles |
P5247
|
FINISHED |
| Object | 150 m |
—
|
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: 150 m | Statement: [Mont Blanc Tunnel, minimumDistanceBetweenVehicles, 150 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumDistanceBetweenVehicles Context triple: [Mont Blanc Tunnel, minimumDistanceBetweenVehicles, 150 m]
-
A.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
B.
hasSpeedLimitRange
Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
-
C.
gapBetween
chosen
Indicates the spatial or temporal distance or separation that exists between two entities.
-
D.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
E.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
- F. None of above.
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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.