Triple
T20626326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Victoria Street railway station |
E506826
|
entity |
| Predicate | hasNationalRailCode |
P1289
|
FINISHED |
| Object | BFV |
—
|
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: BFV | Statement: [Great Victoria Street railway station, hasNationalRailCode, BFV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BFV Context triple: [Great Victoria Street railway station, hasNationalRailCode, BFV]
-
A.
BFV
chosen
BFV is the National Rail station code for Great Victoria Street railway station in Belfast, Northern Ireland.
-
B.
BGFV
BGFV is the stock ticker symbol for Big 5 Sporting Goods, a U.S.-based retailer specializing in sporting goods and related apparel and equipment.
-
C.
BfV
BfV is Germany’s domestic intelligence agency responsible for protecting the constitutional order and countering threats such as extremism and espionage.
-
D.
FV
FV is the IATA airline designator assigned to Rossiya Airlines, a Russian carrier based in Saint Petersburg.
-
E.
CFV
CFV is the ICAO airline designator assigned to Calafia Airlines, a regional carrier based in Mexico.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe576c081909231dc0d7304b9a9 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.