Triple
T34659306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosea Kutako International Airport |
E890062
|
entity |
| Predicate | primaryRunwayLength_m |
P6291
|
FINISHED |
| Object | about 4529 |
—
|
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: about 4529 | Statement: [Hosea Kutako International Airport, primaryRunwayLength_m, about 4529]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRunwayLength_m Context triple: [Hosea Kutako International Airport, primaryRunwayLength_m, about 4529]
-
A.
runwayLength
chosen
Indicates the length of a runway associated with an airport or airfield.
-
B.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
C.
hasLongestRunwayIn
Indicates that an entity possesses the runway of greatest length within a specified location or region.
-
D.
runwayWidth
Indicates the measured width of a runway as a spatial dimension.
-
E.
runwayLengthUnit
Indicates the unit of measurement used to express the length of a runway in the relationship.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:04 a.m.