Triple
T20368204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Razlog |
E496971
|
entity |
| Predicate | distanceToBansko |
P139874
|
FINISHED |
| Object | approximately 6 kilometers |
—
|
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 6 kilometers | Statement: [Razlog, distanceToBansko, approximately 6 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBansko Context triple: [Razlog, distanceToBansko, approximately 6 kilometers]
-
A.
distanceToSmolyan
Indicates the spatial distance between a given entity and the location Smolyan.
-
B.
distanceFromBlagoevgrad
Indicates the physical distance between a given entity or location and the city of Blagoevgrad.
-
C.
distanceToPlovdiv
Indicates the spatial distance between a given entity and the city of Plovdiv.
-
D.
distanceToPamporovo
Indicates the spatial distance between a given entity and the location Pamporovo.
-
E.
distanceToSkopje_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Skopje.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678734b188190bb2c5863023f9f8c |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:26 a.m.