Triple
T18708082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleve district |
E457425
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | KLE |
—
|
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: KLE | Statement: [Kleve district, hasVehicleRegistrationCode, KLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLE Context triple: [Kleve district, hasVehicleRegistrationCode, KLE]
-
A.
KLE
chosen
KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
-
B.
KLEW
KLEW is the ICAO airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
C.
KLS
KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
-
D.
KLS
KLS is the IATA airport code for Southwest Washington Regional Airport, a public airport serving the Longview–Kelso area in Washington State, USA.
-
E.
KOLE
KOLE is the ICAO airport code assigned to Cattaraugus County-Olean Airport in New York, United States.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56719383481909d68c9e873ca0800 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.