Triple
T30929349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tartu Airport |
E787946
|
entity |
| Predicate | distanceFromTartuCityCentre |
P203405
|
FINISHED |
| Object | about 10 km |
—
|
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 10 km | Statement: [Tartu Airport, distanceFromTartuCityCentre, about 10 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTartuCityCentre Context triple: [Tartu Airport, distanceFromTartuCityCentre, about 10 km]
-
A.
distanceFromTallinn
Indicates the measured distance between a given place or object and the city of Tallinn.
-
B.
distanceFromVilnius
Indicates the spatial distance between an entity and the city of Vilnius.
-
C.
distanceFromRiga
Indicates the spatial distance between a given entity and the city of Riga.
-
D.
directionFromTallinn
Indicates the cardinal or relative compass direction in which one location lies when measured from Tallinn.
-
E.
distanceFromKaunas
Indicates the spatial distance between a given entity or location and the city of Kaunas.
- F. None of above. chosen
Provenance (4 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a017590e01c8190b985bb50cc6cd605 |
completed | May 11, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_6a0175406b348190a5809b5f3497d46f |
completed | May 11, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a01758ff6d0819087730892b3ea1c75 |
completed | May 11, 2026, 6:22 a.m. |
Created at: April 29, 2026, 8:52 p.m.