Triple
T17709270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boryspil International Airport |
E441518
|
entity |
| Predicate | distanceFromKyivCityCenter_km |
P125802
|
FINISHED |
| Object | approximately 29 |
—
|
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: approximately 29 | Statement: [Boryspil International Airport, distanceFromKyivCityCenter_km, approximately 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKyivCityCenter_km Context triple: [Boryspil International Airport, distanceFromKyivCityCenter_km, approximately 29]
-
A.
distanceFromKyiv
chosen
Indicates the spatial distance between a given entity’s location and the city of Kyiv.
-
B.
distanceToIvanoFrankivsk
Indicates the spatial distance between a given entity and the location of Ivano-Frankivsk.
-
C.
distanceFromBratislava_km
Indicates the distance, measured in kilometers, between a given entity’s location and the city of Bratislava.
-
D.
distanceFromVilnius
Indicates the spatial distance between an entity and the city of Vilnius.
-
E.
distanceToOdessa
Indicates the spatial distance between a given entity or location and the city of Odessa.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47299cd7881908aac13b84acb61f7 |
completed | April 19, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:05 a.m.