Triple
T15885064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lærdal |
E385170
|
entity |
| Predicate | LærdalTunnelNote |
P120922
|
FINISHED |
| Object | one of the longest road tunnels in the world |
—
|
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: one of the longest road tunnels in the world | Statement: [Lærdal, LærdalTunnelNote, one of the longest road tunnels in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LærdalTunnelNote Context triple: [Lærdal, LærdalTunnelNote, one of the longest road tunnels in the world]
-
A.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
-
B.
lengthOfTunnels
Indicates the measured extent or distance of tunnels associated with an entity.
-
C.
drainageTunnelConstructedIn
Indicates that a drainage tunnel was built or established within a specific location or administrative area.
-
D.
isOneOfLongestNavigableCanalTunnelsIn
Indicates that something ranks among the longest canal tunnels that can be navigated within a specified place or region.
-
E.
roadTunnelOpeningYear
Indicates the calendar year in which a road tunnel was officially opened for use.
- 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_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. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.