Triple
T30527032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 24 |
E776877
|
entity |
| Predicate | isPrimaryTakeoffRunwayOf |
P8867
|
FINISHED |
| Object | Jomo Kenyatta International 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: Jomo Kenyatta International Airport | Statement: [Runway 24, isPrimaryTakeoffRunwayOf, Jomo Kenyatta International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryTakeoffRunwayOf Context triple: [Runway 24, isPrimaryTakeoffRunwayOf, Jomo Kenyatta International Airport]
-
A.
isPrimaryRunwayOf
chosen
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
B.
takeoffAirportRunway
Indicates the specific airport runway from which an aircraft departs or takes off.
-
C.
regionOfTakeoff
Indicates the geographic region or area from which a takeoff event occurs.
-
D.
runwayUsedAs
Indicates that a particular runway is being utilized for a specific purpose, role, or operational function.
-
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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 29, 2026, 8:17 p.m.