Triple
T16395210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DT2 train |
E398161
|
entity |
| Predicate | usedOnLine |
P15252
|
FINISHED |
| Object | Nuremberg U2 line |
E15595
|
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: Nuremberg U2 line | Statement: [DT2 train, usedOnLine, Nuremberg U2 line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuremberg U2 line Context triple: [DT2 train, usedOnLine, Nuremberg U2 line]
-
A.
Nuremberg U-Bahn
chosen
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.
-
B.
Eggebahn line
The Eggebahn line is a regional railway route in Germany that runs through the Eggegebirge region, connecting towns such as Bad Driburg.
-
C.
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.
-
D.
S7 Line
The S7 Line is a suburban rapid transit line of the Nanjing Metro serving outlying districts to the south of Nanjing, China.
-
E.
U-Bahn line U2
U-Bahn line U2 is a major rapid transit route in the Berlin U-Bahn network, running across the city and connecting key residential and commercial districts.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326462298819087091dc935f0f916 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f439d048190bf779cb263b7c7a7 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:08 a.m.