Triple
T32425894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pau–Canfranc railway |
E828574
|
entity |
| Predicate | tunnelStructure |
P40851
|
FINISHED |
| Object | Somport Tunnel |
—
|
NE NERFINISHED |
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: Somport Tunnel | Statement: [Pau–Canfranc railway, tunnelStructure, Somport Tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelStructure Context triple: [Pau–Canfranc railway, tunnelStructure, Somport Tunnel]
-
A.
tunnels
Indicates that one entity passes through, under, or within another entity via a tunnel-like passage or structure.
-
B.
partOfTunnel
chosen
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
C.
tunnelType
Indicates the specific kind or classification of a tunnel associated with an entity.
-
D.
numberOfTunnels
Indicates the quantity of tunnels associated with or passing through a given entity or location.
-
E.
viaStructure
Indicates that one entity is connected to or accessed through a particular structural element or medium.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c287740c8190a91da975e50564dc |
completed | May 3, 2026, 3:35 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:54 a.m.