Triple
T32445266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KECP |
E829125
|
entity |
| Predicate | usesNavigationServicesProvider |
P146575
|
FINISHED |
| Object | Federal Aviation Administration |
—
|
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: Federal Aviation Administration | Statement: [KECP, usesNavigationServicesProvider, Federal Aviation Administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNavigationServicesProvider Context triple: [KECP, usesNavigationServicesProvider, Federal Aviation Administration]
-
A.
hasNavigationService
chosen
Indicates that an entity provides, supports, or is associated with a navigation-related service or functionality for another entity.
-
B.
hasNavigationUse
Indicates that something is used for navigation or serves a navigational function in relation to another entity.
-
C.
hasNavigationRoute
Indicates that one entity provides or defines a navigation path or route leading to or through another entity.
-
D.
hasNavigationContext
Indicates that an entity is associated with a particular navigation-related context or state that influences how it is accessed, viewed, or traversed.
-
E.
hasNavigationModel
Indicates that an entity is associated with or uses a specific navigation model that defines how it determines or follows routes or paths.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e5a0ec819098203f775adb5d03 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:55 a.m.