Triple
T6216497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nationaltheatret station |
E138999
|
entity |
| Predicate | railwaySectionOpeningDate |
P68956
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Nationaltheatret station, railwaySectionOpeningDate, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwaySectionOpeningDate Context triple: [Nationaltheatret station, railwaySectionOpeningDate, 1980]
-
A.
railwayOpenedWith
Indicates that a railway line or section was inaugurated and began operation together with a specified associated element (such as a station, segment, or service).
-
B.
railwayLineOpened
Indicates that a railway line began official operation or service on a specified date.
-
C.
railwayWorksOpened
Indicates that a railway facility, such as a station, line, or related infrastructure, was officially opened or began operation on a specified date.
-
D.
railwayStationOpened
Indicates that a railway station began operation or was officially opened on a specified date or in a specified time period.
-
E.
railTunnelOpeningYear
Indicates the calendar year in which a rail 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a1eb3881908c7f735cf9c429ce |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:21 p.m.