Triple
T20208966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komaki Air Base |
E493435
|
entity |
| Predicate | openedAsMilitaryFacility |
P7893
|
FINISHED |
| Object | World War II era |
—
|
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: World War II era | Statement: [Komaki Air Base, openedAsMilitaryFacility, World War II era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsMilitaryFacility Context triple: [Komaki Air Base, openedAsMilitaryFacility, World War II era]
-
A.
openedAsMilitaryAirfield
chosen
Indicates that an airfield was originally established and began operation specifically for military aviation use.
-
B.
formerMilitaryBase
Indicates that a location was previously used as a military base but no longer serves that function.
-
C.
isMilitaryInstallation
Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
-
D.
hostsMilitaryInstallation
Indicates that a location contains or accommodates a military base, facility, or installation operated by armed forces.
-
E.
militaryInstallationType
Indicates the specific category or kind of military installation associated with an entity (e.g., base, fort, airfield, naval station).
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d94999c8190b67051cb0acea213 |
completed | April 20, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.