Triple
T6784523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U Bundestag station |
E155766
|
entity |
| Predicate | lineServed |
P6301
|
FINISHED |
| Object | U5 |
E530780
|
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: U5 | Statement: [U Bundestag station, lineServed, U5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U5 Context triple: [U Bundestag station, lineServed, U5]
-
A.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U5
chosen
U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
-
C.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
D.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
-
E.
U6
U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28bdc3c8190aa60616d89db66ed |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d6fb4c8190a7e7b88edc9c848c |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:14 p.m.