Triple
T35172930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linua Island |
E1015597
|
entity |
| Predicate | runwayUsedBy |
P77854
|
FINISHED |
| Object | light aircraft |
—
|
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: light aircraft | Statement: [Linua Island, runwayUsedBy, light aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runwayUsedBy Context triple: [Linua Island, runwayUsedBy, light aircraft]
-
A.
runwayUsedAs
Indicates that a particular runway is being utilized for a specific purpose, role, or operational function.
-
B.
runwayUsage
chosen
Indicates that a particular runway is being used or assigned for aircraft operations such as takeoffs or landings.
-
C.
runway
Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
-
D.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
E.
runwayLength
Indicates the length of a runway associated with an airport or airfield.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:02 p.m.