Triple
T3067602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hana Airport |
E62141
|
entity |
| Predicate | NPIAS category |
P44220
|
FINISHED |
| Object | general aviation facility |
—
|
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: general aviation facility | Statement: [Hana Airport, NPIAS category, general aviation facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NPIAS category Context triple: [Hana Airport, NPIAS category, general aviation facility]
-
A.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
B.
isEcologicalZone
Indicates that one entity functions as, or is classified as, an ecological zone in relation to another entity.
-
C.
partOfProtectedAreaCategory
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
D.
protectedAreaIUCNCategory
Indicates the specific IUCN management category assigned to a protected area, describing the type and level of its conservation protection.
-
E.
ecologicalStatus
Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
- F. None of above. chosen
Provenance (4 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.