Triple
T20640378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBLV |
E507204
|
entity |
| Predicate | hasFAAIdentifier |
P420
|
FINISHED |
| Object | BLV |
—
|
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: BLV | Statement: [KBLV, hasFAAIdentifier, BLV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLV Context triple: [KBLV, hasFAAIdentifier, BLV]
-
A.
BLV
BLV is the Swiss Federal Food Safety and Veterinary Office, the national authority responsible for protecting public health and animal welfare through regulation and oversight of food safety and veterinary matters.
-
B.
BLV
chosen
BLV is the IATA airport code for MidAmerica St. Louis Airport, a joint-use civilian and military airfield at Scott Air Force Base in Illinois, USA.
-
C.
BVL
BVL is Germany’s Federal Office of Consumer Protection and Food Safety, the national authority responsible for ensuring food safety and protecting consumer health.
-
D.
BVV
BVV is a major trade fair and exhibition complex in Brno, Czech Republic, hosting large international fairs, conferences, and events.
-
E.
BVV
BVV is the common abbreviation for the district-level representative assemblies that serve as local parliaments in the boroughs of 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad132ebc8190b557914cf31a9033 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.