Triple
T778305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Florida Airport |
E16438
|
entity |
| Predicate | hasRunwayLength |
P6291
|
FINISHED |
| Object | 1938 metres |
—
|
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: 1938 metres | Statement: [La Florida Airport, hasRunwayLength, 1938 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunwayLength Context triple: [La Florida Airport, hasRunwayLength, 1938 metres]
-
A.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
-
B.
runwayLength
chosen
Indicates the length of a runway associated with an airport or airfield.
-
C.
hasRunwayNumber
Indicates that an airport or airfield runway is assigned a specific identifying number.
-
D.
hasRunwayMarkings
Indicates that a runway possesses specific painted markings or symbols on its surface.
-
E.
hasRunwayOrientation
Indicates that a runway is aligned or oriented in a specific directional heading.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.