Triple
T22900978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBED |
E568316
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | KBED |
—
|
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: KBED | Statement: [KBED, hasICAOCode, KBED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBED Context triple: [KBED, hasICAOCode, KBED]
-
A.
KBED
chosen
KBED is the ICAO airport code for Hanscom Field, a public airport in Bedford, Massachusetts serving general aviation and some military operations.
-
B.
KCBC
KCBC is the abbreviation for the Korean Central Broadcasting Committee, North Korea’s state-run broadcasting organization that oversees radio and television services.
-
C.
KBUR
KBUR is the ICAO airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
-
D.
KBVU
KBVU is the ICAO airport code for Boulder City Municipal Airport in Boulder City, Nevada, United States.
-
E.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801626488190b7e8ce3301667987 |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.