Triple
T22834376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solec-Zdrój |
E565901
|
entity |
| Predicate | distanceFromBusko-Zdrój |
P149904
|
FINISHED |
| Object | approximately 17 kilometres southeast |
—
|
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 17 kilometres southeast | Statement: [Solec-Zdrój, distanceFromBusko-Zdrój, approximately 17 kilometres southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBusko-Zdrój Context triple: [Solec-Zdrój, distanceFromBusko-Zdrój, approximately 17 kilometres southeast]
-
A.
distanceToZakopane_km
Indicates the distance, measured in kilometers, between a given place and Zakopane.
-
B.
distanceFromBrno
Indicates the spatial distance between a given entity and the city of Brno.
-
C.
distanceFromBratislava_km
Indicates the distance, measured in kilometers, between a given entity’s location and the city of Bratislava.
-
D.
distanceFromPlzeň_km
Indicates the distance, measured in kilometers, between an entity and the city of Plzeň.
-
E.
distanceToKraków_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Kraków.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2e3e7481909d12dc5008136880 |
completed | April 29, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:35 p.m.