Triple
T30753729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fehmarnbelt Tunnel |
E783022
|
entity |
| Predicate | roadDesignSpeedKmPerHour |
P138039
|
FINISHED |
| Object | 110 |
—
|
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: 110 | Statement: [Fehmarnbelt Tunnel, roadDesignSpeedKmPerHour, 110]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDesignSpeedKmPerHour Context triple: [Fehmarnbelt Tunnel, roadDesignSpeedKmPerHour, 110]
-
A.
designedSpeedKmH
chosen
Indicates the maximum speed in kilometers per hour that something is intended or engineered to achieve under its design specifications.
-
B.
speedLimitCharacteristic
Indicates that an entity has a specific speed limit property or constraint associated with it.
-
C.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
D.
typicalSpeedLimitComparedToMainline
Indicates how the typical speed limit on one road segment compares to that of the mainline or primary roadway.
-
E.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f92c0448190a4c90ecfcbca0945 |
completed | May 2, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:39 p.m.