Triple
T21758384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeland Linder International Airport |
E537097
|
entity |
| Predicate | militaryRoleDuringWWII |
P16542
|
FINISHED |
| Object | training airfield |
—
|
LITERAL FINISHED |
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: training airfield | Statement: [Lakeland Linder International Airport, militaryRoleDuringWWII, training airfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryRoleDuringWWII Context triple: [Lakeland Linder International Airport, militaryRoleDuringWWII, training airfield]
-
A.
roleInWorldWarI
Indicates the specific function, position, or involvement an entity had during World War I.
-
B.
worldWarIIRole
chosen
Indicates the specific role, position, or function an entity had in relation to World War II.
-
C.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
D.
frontDuringWWII
Indicates that an entity served as a military front or active combat theater during World War II.
-
E.
postWWIIRole
Indicates the role, position, or function an entity assumed or performed in the period following World War II.
- F. None of above.
Provenance (3 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d902c9881908051904e44a136af |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.