Triple
T23359101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlberg Pass |
E593133
|
entity |
| Predicate | openedRoadTunnelYear |
P57523
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Arlberg Pass, openedRoadTunnelYear, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedRoadTunnelYear Context triple: [Arlberg Pass, openedRoadTunnelYear, 1978]
-
A.
roadTunnelOpeningYear
chosen
Indicates the calendar year in which a road tunnel was officially opened for use.
-
B.
railTunnelOpeningYear
Indicates the calendar year in which a rail tunnel was officially opened for use.
-
C.
openedToTrafficInYear
Indicates the year in which something, typically a transportation facility or route, was first officially opened for public traffic use.
-
D.
openingYearForModernHighway
Indicates the calendar year in which a modern highway was first opened to traffic or put into official operation.
-
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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1a39988190b4b4993b80d5a5f6 |
completed | April 29, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:29 p.m.