Triple
T7139770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholmer Strasse S-Bahn station |
E166410
|
entity |
| Predicate | openedAsStation |
P68211
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Bornholmer Strasse S-Bahn station, openedAsStation, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsStation Context triple: [Bornholmer Strasse S-Bahn station, openedAsStation, 20th century]
-
A.
openedAsTransitStation
chosen
Indicates that an entity began operation specifically as a transit station at the time it was opened.
-
B.
openedAsNameForStation
Indicates that a station was originally opened under a particular name.
-
C.
openedAsRERStation
Indicates that a station began operation specifically as part of the RER (Réseau Express Régional) network from its opening date.
-
D.
openedAsElevatedStation
Indicates that a station began operation specifically as an elevated (above-ground, raised) facility rather than at-grade or underground.
-
E.
openedAsMBTAStation
Indicates that an entity began operation specifically as an MBTA station at a particular time.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7775e408190b880abde0a3f8d12 |
completed | March 27, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:45 p.m.