Triple
T14229711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn station Yorckstraße |
E352718
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Yorckbrücken |
E1091448
|
NE 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: Yorckbrücken | Statement: [S-Bahn station Yorckstraße, locatedNear, Yorckbrücken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorckbrücken Context triple: [S-Bahn station Yorckstraße, locatedNear, Yorckbrücken]
-
A.
Yorckbrücken
chosen
Yorckbrücken is a series of historic railway bridges in Berlin, Germany, known for their dense concentration and industrial architectural character.
-
B.
Oberkasseler Brücke
Oberkasseler Brücke is a major road and tram bridge over the Rhine in Düsseldorf, connecting the city center with the Oberkassel district.
-
C.
Quaibrücke
Quaibrücke is a prominent road and tram bridge in central Zurich, Switzerland, connecting the old town with the lakeside area where the Limmat River flows out of Lake Zurich.
-
D.
Boschbrücke
Boschbrücke is a bridge in Munich, Germany, that connects to the Museumsinsel (Museum Island) over the Isar River.
-
E.
Knesebeck Bridge
Knesebeck Bridge is a bridge spanning the Teltow Canal in Berlin, Germany, serving as a local road and pedestrian crossing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622b89fc8190af08dab9e1976759 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46794e9c819093312a2c304e554e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:07 a.m.