Triple
T17671702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBNA |
E440534
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Berry Field |
—
|
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: Berry Field | Statement: [KBNA, formerName, Berry Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berry Field Context triple: [KBNA, formerName, Berry Field]
-
A.
Berry Field
chosen
Berry Field was the original name of what is now Nashville International Airport, a major air travel hub serving Nashville, Tennessee.
-
B.
Love Field
Love Field is a 1992 American drama film set around the aftermath of President John F. Kennedy’s assassination, starring Michelle Pfeiffer and featuring Dennis Haysbert in a prominent role.
-
C.
Love Field
Love Field is a public airport in Dallas, Texas, historically known as the city’s primary airport before the opening of Dallas/Fort Worth International Airport.
-
D.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
E.
Watchfield
Watchfield is a village in Oxfordshire, England, known for its military connections and proximity to the Defence Academy of the United Kingdom.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f69b11c8190b09add33f81776b3 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 9:59 a.m.