Triple
T15730270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin-Heiligensee station |
E381323
|
entity |
| Predicate | reopenedAsSBahn |
P119964
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Berlin-Heiligensee station, reopenedAsSBahn, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedAsSBahn Context triple: [Berlin-Heiligensee station, reopenedAsSBahn, 1998]
-
A.
reopenedAsMBTAService
Indicates that a previously closed service or line was reopened specifically as part of the MBTA (Massachusetts Bay Transportation Authority) system.
-
B.
reopenedAsMetroStation
Indicates that a previously closed or differently used station was later reopened specifically as a metro station.
-
C.
reopenedAsSubwayStation
Indicates that a previously closed or differently used station has been opened again specifically as a subway station.
-
D.
reopenedRailwayContext
Indicates that a railway line, previously closed or inactive, has been put back into operation within a specified context or timeframe.
-
E.
openedAsTramway
Indicates that a transportation line or route was originally inaugurated and operated as a tramway system.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0094af5b481908ad51d5d7ba0c726 |
completed | April 15, 2026, 9:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.