Triple
T16517815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asmara International Airport |
E401229
|
entity |
| Predicate | runway07_25Length |
P6291
|
FINISHED |
| Object | about 3000 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: about 3000 metres | Statement: [Asmara International Airport, runway07_25Length, about 3000 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runway07_25Length Context triple: [Asmara International Airport, runway07_25Length, about 3000 metres]
-
A.
runwayWidth
Indicates the measured width of a runway as a spatial dimension.
-
B.
runwayLength
chosen
Indicates the length of a runway associated with an airport or airfield.
-
C.
runway
Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
-
D.
runwayLengthUnit
Indicates the unit of measurement used to express the length of a runway in the relationship.
-
E.
runwayFormat
Indicates the specific physical configuration or layout type of a runway used for takeoff and landing.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7da2248190a540a5ef8686963d |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.