Triple
T17473705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laupheim Air Base |
E425482
|
entity |
| Predicate | hasHelicopterUnit |
P99164
|
FINISHED |
| Object | special operations helicopter forces |
—
|
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: special operations helicopter forces | Statement: [Laupheim Air Base, hasHelicopterUnit, special operations helicopter forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHelicopterUnit Context triple: [Laupheim Air Base, hasHelicopterUnit, special operations helicopter forces]
-
A.
isHelicopterOf
Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
-
B.
hasHelicopterTrainingRole
Indicates that an entity holds a role or position specifically related to the training or instruction of helicopter operations.
-
C.
isHelicopterOnly
Indicates that the subject is restricted to or designated exclusively for use by helicopters.
-
D.
hasHelicopterTraffic
chosen
Indicates that there is regular or notable helicopter movement or operations occurring in or over a given area or location.
-
E.
hasHeliport
Indicates that an entity possesses or is equipped with a heliport facility for helicopter landing and takeoff.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451b990848190b2e8510d67e94b79 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.