Triple
T26498674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rinas Airport |
E669355
|
entity |
| Predicate | distanceFromTirana |
P57951
|
FINISHED |
| Object | approximately 11 kilometers northwest |
—
|
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 11 kilometers northwest | Statement: [Rinas Airport, distanceFromTirana, approximately 11 kilometers northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTirana Context triple: [Rinas Airport, distanceFromTirana, approximately 11 kilometers northwest]
-
A.
distanceToTirana_km
chosen
Indicates the physical distance, measured in kilometers, between a given place and the city of Tirana.
-
B.
distanceFromPristina
Indicates the spatial distance between an entity’s location and the city of Pristina.
-
C.
distanceToKorçë
Indicates the spatial distance between an entity and the location of Korçë.
-
D.
distanceToSarandë
Indicates the spatial distance between a given entity and the location of Sarandë.
-
E.
distanceToSkopje_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Skopje.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: April 27, 2026, 1:11 a.m.