Triple
T411677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Dorado International Airport |
E9501
|
entity |
| Predicate | publicUse |
P1079
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [El Dorado International Airport, publicUse, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicUse Context triple: [El Dorado International Airport, publicUse, yes]
-
A.
publicAccess
chosen
Indicates that something is available for use, entry, or viewing by the general public without special restrictions or permissions.
-
B.
publicOrPrivate
Indicates whether something is designated as publicly accessible or restricted to private use or access.
-
C.
publicProfile
Indicates that an entity’s profile or identifying information is visible and accessible to the general public.
-
D.
export
Indicates that one entity sends goods, services, or data out from its own domain or territory to another entity or external destination.
-
E.
politicalUse
Indicates that something is used for political purposes, such as influencing, supporting, or opposing political actors, policies, or processes.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.