Triple
T4060882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn line U7 |
E86206
|
entity |
| Predicate | connectsArea |
P2564
|
FINISHED |
| Object | Rudow |
E410414
|
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: Rudow | Statement: [Berlin U-Bahn line U7, connectsArea, Rudow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudow Context triple: [Berlin U-Bahn line U7, connectsArea, Rudow]
-
A.
Rudow
chosen
Rudow is a district in the southeastern part of Berlin, Germany, known for its residential character and connection to the city's U-Bahn network.
-
B.
Ruda
Ruda is the former name of the global sportswear and athletic brand now known as Puma.
-
C.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
D.
Rood
Rood is a surname most notably associated with Ogden Rood, an American physicist and color theorist known for his influential work on color science.
-
E.
Rùm
Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd4acb0819093bcffcd05ed8e6f |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b52e31c819099f9d354c197cf00 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:38 p.m.