Triple
T10537720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleśnica |
E248614
|
entity |
| Predicate | distanceToWrocław |
P57462
|
FINISHED |
| Object | approximately 30 km east |
—
|
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 30 km east | Statement: [Oleśnica, distanceToWrocław, approximately 30 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWrocław Context triple: [Oleśnica, distanceToWrocław, approximately 30 km east]
-
A.
distanceToWrocławApproxKm
chosen
Indicates an approximate distance, measured in kilometers, between an entity and the city of Wrocław.
-
B.
distanceToKatowice
Indicates the spatial distance between a given entity and the city of Katowice.
-
C.
distanceToKraków_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Kraków.
-
D.
distanceToPoznań_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Poznań.
-
E.
distanceToOstróda
Indicates the spatial distance between a given entity or location and the town of Ostróda.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a56133c819088285522e64831f7 |
completed | April 7, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:31 p.m.