Triple
T15885063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lærdal |
E385170
|
entity |
| Predicate | LærdalTunnelLength |
P33049
|
FINISHED |
| Object | about 24.5 kilometres |
—
|
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: about 24.5 kilometres | Statement: [Lærdal, LærdalTunnelLength, about 24.5 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LærdalTunnelLength Context triple: [Lærdal, LærdalTunnelLength, about 24.5 kilometres]
-
A.
lengthOfTunnels
Indicates the measured extent or distance of tunnels associated with an entity.
-
B.
isOneOfLongestNavigableCanalTunnelsIn
Indicates that something ranks among the longest canal tunnels that can be navigated within a specified place or region.
-
C.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
-
D.
lengthInKm
chosen
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
E.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.