Triple
T880827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Rivera Noriega Airport |
E19021
|
entity |
| Predicate | hasNavigationType |
P16808
|
FINISHED |
| Object | visual flight rules operations |
—
|
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: visual flight rules operations | Statement: [Benjamin Rivera Noriega Airport, hasNavigationType, visual flight rules operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNavigationType Context triple: [Benjamin Rivera Noriega Airport, hasNavigationType, visual flight rules operations]
-
A.
hasNavigationUse
Indicates that something is used for navigation or serves a navigational function in relation to another entity.
-
B.
hasRouteType
Indicates that there is a specific kind or category of route associated with an entity (e.g., road, rail, bus line).
-
C.
hasNavigationAid
Indicates that one entity provides or is equipped with a navigation aid used to assist in determining position or direction.
-
D.
navigatesUsing
Indicates that one entity moves or travels through an environment by relying on another entity as its means, tool, or method of navigation.
-
E.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accb653c81909fe0753f78145be9 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8eca748190b58e0f08b30fba43 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.