Triple
T16539061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S47 (Berlin S-Bahn line) |
E401772
|
entity |
| Predicate | fareZone |
P844
|
FINISHED |
| Object | VBB Berlin AB |
E312736
|
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: VBB Berlin AB | Statement: [S47 (Berlin S-Bahn line), fareZone, VBB Berlin AB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VBB Berlin AB Context triple: [S47 (Berlin S-Bahn line), fareZone, VBB Berlin AB]
-
A.
VBB: Berlin AB
chosen
VBB: Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city area served by buses, trams, U-Bahn, and S-Bahn.
-
B.
VBB
VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
-
C.
HVV
HVV is the Hamburg public transport association that coordinates and operates regional transit services in and around Hamburg, Germany.
-
D.
Berliner Verkehrsbetriebe
Berliner Verkehrsbetriebe is Berlin’s main public transport company, operating the city’s extensive network of U-Bahn trains, trams, and buses.
-
E.
BVB
BVB is the public transport company that operates much of the tram and bus network in Basel, Switzerland.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455a98b481909e489ea7bd01570a |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ae169c81909a123b7dfe3fd906 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.