Triple
T29922875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primorsko |
E759993
|
entity |
| Predicate | distanceFromBurgas |
P192272
|
FINISHED |
| Object | approximately 50 km south |
—
|
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 50 km south | Statement: [Primorsko, distanceFromBurgas, approximately 50 km south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBurgas Context triple: [Primorsko, distanceFromBurgas, approximately 50 km south]
-
A.
distanceToBurgas_km
chosen
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Burgas.
-
B.
distanceFromBlagoevgrad
Indicates the physical distance between a given entity or location and the city of Blagoevgrad.
-
C.
distanceFromSofia
Indicates the spatial distance between a given entity and the city of Sofia.
-
D.
distanceToPlovdiv
Indicates the spatial distance between a given entity and the city of Plovdiv.
-
E.
distanceFromStaraZagoraApproximateKm
Indicates the approximate distance, measured in kilometers, between an entity and Stara Zagora.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00bc079314819096271bba60bee52d |
completed | May 10, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_6a00bba5bd408190ace5db0c4a90dc6f |
completed | May 10, 2026, 5:08 p.m. |
Created at: April 29, 2026, 6:15 p.m.