Triple
T6725711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandenburger Tor S-Bahn station |
E153510
|
entity |
| Predicate | openedAsS-BahnStation |
P1712
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Brandenburger Tor S-Bahn station, openedAsS-BahnStation, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsS-BahnStation Context triple: [Brandenburger Tor S-Bahn station, openedAsS-BahnStation, 1936]
-
A.
openedAsTransitStation
Indicates that an entity began operation specifically as a transit station at the time it was opened.
-
B.
openedAsRERStation
Indicates that a station began operation specifically as part of the RER (Réseau Express Régional) network from its opening date.
-
C.
openedAsBusTunnelStation
Indicates that a station was originally opened for service as part of a bus tunnel system rather than as a conventional rail or metro station.
-
D.
openedAsRailStop
chosen
Indicates that an entity began operation or was first established specifically as a railway stop.
-
E.
openedAsMetrolinkStop
Indicates that a location began operation specifically as a Metrolink transit stop.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:08 p.m.