Triple
T16919784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudow |
E410414
|
entity |
| Predicate | servedByLine |
P1293
|
FINISHED |
| Object | U7 |
E365989
|
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: U7 | Statement: [Rudow, servedByLine, U7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U7 Context triple: [Rudow, servedByLine, U7]
-
A.
U7
chosen
U7 is a line of the Berlin U-Bahn rapid transit system, running in an east–west direction across the city.
-
B.
U7
U7 is a line of the Frankfurt U-Bahn rapid transit network serving various districts across the city.
-
C.
U7
U7 is a supplementary line of the Munich U-Bahn rapid transit system, typically operating as a reinforcement or special service on existing routes.
-
D.
U7
U7 is a light rail line of the Stuttgart Stadtbahn network in Germany, providing urban transit service across parts of the Stuttgart metropolitan area.
-
E.
U9
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45a6ee8819092ae7c572be68e62 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:30 a.m.