Triple
T25947219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sveti Vlas |
E653871
|
entity |
| Predicate | distanceToSunnyBeach |
P192354
|
FINISHED |
| Object | approximately 5 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: approximately 5 km | Statement: [Sveti Vlas, distanceToSunnyBeach, approximately 5 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSunnyBeach Context triple: [Sveti Vlas, distanceToSunnyBeach, approximately 5 km]
-
A.
distanceToDaytonaBeach
Indicates the spatial distance between a given location or entity and Daytona Beach.
-
B.
distanceToOceanCity
Indicates the measured distance between a given location and Ocean City.
-
C.
distanceFromMiami
Indicates the spatial distance between a given entity’s location and the city of Miami.
-
D.
distanceToPraia
Indicates the measured distance between an entity and the location Praia.
-
E.
distanceToFlorida
Indicates the spatial distance between a given entity’s location and the state of Florida.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: April 22, 2026, 8:43 a.m.