Triple
T21325052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornheim Mitte |
E525729
|
entity |
| Predicate | servedByLine |
P1293
|
FINISHED |
| Object | U4 |
—
|
NE NERFINISHED |
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: U4 | Statement: [Bornheim Mitte, servedByLine, U4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U4 Context triple: [Bornheim Mitte, servedByLine, U4]
-
A.
U4
chosen
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U4
U4 is a line of the Munich U-Bahn rapid transit system serving several central and eastern districts of Munich, Germany.
-
C.
U4
U4 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
-
D.
U4
U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
-
E.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed7732c8190a0e7aec6e7cbcef2 |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:41 p.m.