Triple
T28090837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Juan Airport |
E709948
|
entity |
| Predicate | hasNavigationServices |
P146575
|
FINISHED |
| Object | basic air navigation services |
—
|
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: basic air navigation services | Statement: [San Juan Airport, hasNavigationServices, basic air navigation services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNavigationServices Context triple: [San Juan Airport, hasNavigationServices, basic air navigation services]
-
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.
hasNavigationCharacteristic
Indicates that an entity possesses a specific property, feature, or quality related to navigation or navigational behavior.
-
D.
hasNavigationTechnology
Indicates that an entity is equipped with or utilizes a system or technology for determining or guiding its position, route, or movement.
-
E.
hasNavigationStatus
Indicates the current state or condition of an entity’s navigation, such as whether and how it is actively navigating.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 8:58 p.m.