Triple
T33606685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saba, Caribbean Netherlands |
E860878
|
entity |
| Predicate | hasVeryShortRunway |
P6291
|
FINISHED |
| Object | Juancho E. Yrausquin Airport |
—
|
NE NERFINISHED |
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: Juancho E. Yrausquin Airport | Statement: [Saba, Caribbean Netherlands, hasVeryShortRunway, Juancho E. Yrausquin Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVeryShortRunway Context triple: [Saba, Caribbean Netherlands, hasVeryShortRunway, Juancho E. Yrausquin Airport]
-
A.
runwaySupportsAircraftType
Indicates that a particular runway is suitable and certified for use by a specified type of aircraft.
-
B.
runwayRequirement
Indicates the minimum runway characteristics (such as length or surface conditions) needed for an aircraft or operation to take off or land safely.
-
C.
runwayLength
chosen
Indicates the length of a runway associated with an airport or airfield.
-
D.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
-
E.
hasRunwayAccessTo
Indicates that one location or facility is directly connected to another via a usable runway, allowing aircraft to move between them without leaving runway infrastructure.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:41 a.m.