Triple
T21442752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4 motorway (Portugal) |
E528978
|
entity |
| Predicate | Marão TunnelStatus |
P144363
|
FINISHED |
| Object | one of the longest road tunnels in the Iberian Peninsula |
—
|
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 Iberian Peninsula | Statement: [A4 motorway (Portugal), Marão TunnelStatus, one of the longest road tunnels in the Iberian Peninsula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Marão TunnelStatus Context triple: [A4 motorway (Portugal), Marão TunnelStatus, one of the longest road tunnels in the Iberian Peninsula]
-
A.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
-
B.
tunnelDugBy
Indicates that a tunnel was created or excavated by a particular agent or entity.
-
C.
SeikanTunnelConnects
Indicates that the Seikan Tunnel serves as a physical connection between two geographic locations or regions.
-
D.
SeikanTunnelType
Indicates that one entity is classified as a specific type or category of Seikan Tunnel.
-
E.
isOneOfLongestNavigableCanalTunnelsIn
Indicates that something ranks among the longest canal tunnels that can be navigated within a specified place or region.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7044a3881908a7fe26f26c92762 |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:05 p.m.