Triple
T17627466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lötschberg railway line |
E429884
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | BLS network |
—
|
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: BLS network | Statement: [Lötschberg railway line, partOf, BLS network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLS network Context triple: [Lötschberg railway line, partOf, BLS network]
-
A.
BLS
BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
-
B.
BLS
BLS is the former New York Stock Exchange ticker symbol for BellSouth Corporation, a major U.S. telecommunications company that was later acquired by AT&T.
-
C.
BLS
BLS is the principal U.S. federal agency that collects, analyzes, and disseminates essential economic data on labor markets, prices, and productivity.
-
D.
BLS
BLS is the station code for Berlin-Spandau station, a major railway hub in Berlin, Germany.
-
E.
BLS AG
chosen
BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbe3a308190a818d04f1a9b15f7 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.