Triple
T22417968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Zoologischer Garten railway station |
E554170
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | "BLS" |
—
|
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" | Statement: [Berlin Zoologischer Garten railway station, hasStationCode, "BLS"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "BLS" Context triple: [Berlin Zoologischer Garten railway station, hasStationCode, "BLS"]
-
A.
BLS
BLS is the ICAO airline designator assigned to Bearskin Airlines, a Canadian regional carrier.
-
B.
BLS
chosen
BLS is the station code for Berlin’s Zoologischer Garten railway station, a major transport hub in the German capital.
-
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 former New York Stock Exchange ticker symbol for BellSouth Corporation, a major U.S. telecommunications company that was later acquired by AT&T.
-
E.
BLS
BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15947dcc08190a584636f87669316 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.