Triple
T32312737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenner Pass |
E825543
|
entity |
| Predicate | BrennerBaseTunnelStatus |
P137701
|
FINISHED |
| Object | under construction (as of mid-2020s) |
—
|
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: under construction (as of mid-2020s) | Statement: [Brenner Pass, BrennerBaseTunnelStatus, under construction (as of mid-2020s)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrennerBaseTunnelStatus Context triple: [Brenner Pass, BrennerBaseTunnelStatus, under construction (as of mid-2020s)]
-
A.
tunnelsStatus
chosen
Indicates the current operational or physical condition of tunnels, such as whether they are open, closed, or otherwise restricted.
-
B.
tunnelType
Indicates the specific kind or classification of a tunnel associated with an entity.
-
C.
tunnelOperationMode
Indicates the specific operational state or mode in which a tunnel system or tunnel-related process is currently functioning.
-
D.
numberOfTunnels
Indicates the quantity of tunnels associated with or passing through a given entity or location.
-
E.
tunnelLocation
Indicates that one entity is the location or site where a tunnel is situated or passes through in relation to another 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:46 a.m.