Triple
T14148824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maputo International Airport |
E350620
|
entity |
| Predicate | runway05_23Use |
P93491
|
FINISHED |
| Object | civil aviation |
—
|
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: civil aviation | Statement: [Maputo International Airport, runway05_23Use, civil aviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runway05_23Use Context triple: [Maputo International Airport, runway05_23Use, civil aviation]
-
A.
runway
Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
-
B.
usesRunwayOf
Indicates that one entity makes use of the runway that belongs to or is associated with another entity.
-
C.
runway17_35Use
chosen
Indicates use or operational activity occurring on runway 17/35.
-
D.
runwayPair
Indicates that two runways are associated or grouped together as a functional pair, typically for coordinated or complementary use.
-
E.
isRunwayOf
Indicates that a physical runway is a component or facility belonging to, used by, or officially associated with a particular 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61237ef481909374c1f68a2370b7 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:55 a.m.