Triple
T6358368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin public transport network |
E143047
|
entity |
| Predicate | includesMode |
P1393
|
FINISHED |
| Object | U-Bahn |
E144841
|
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: U-Bahn | Statement: [Berlin public transport network, includesMode, U-Bahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U-Bahn Context triple: [Berlin public transport network, includesMode, U-Bahn]
-
A.
Munich U-Bahn
The Munich U-Bahn is the German city's rapid transit metro system, forming a core part of its public transportation network with multiple underground lines serving urban and suburban areas.
-
B.
S-Bahn
The S-Bahn is a German urban and suburban rapid transit rail system that connects city centers with surrounding metropolitan regions.
-
C.
Berlin U-Bahn
chosen
The Berlin U-Bahn is the German capital’s extensive underground rapid transit system, forming a core part of its public transportation network.
-
D.
Frankfurt U-Bahn
The Frankfurt U-Bahn is the rapid transit system serving Frankfurt am Main, Germany, forming a core part of the city's public transportation network with multiple underground and surface lines.
-
E.
Nuremberg U-Bahn
The Nuremberg U-Bahn is the rapid transit system serving Nuremberg and its surrounding area in Germany, known for being one of the first networks to operate fully automated driverless trains.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f5bdd481909cf9db595ddb27df |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65381ab8081908293225471062f28 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:32 p.m.