Triple
T27348877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oborniki Śląskie |
E684301
|
entity |
| Predicate | distanceFromWrocław |
P57462
|
FINISHED |
| Object | about 25 km northwest |
—
|
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: about 25 km northwest | Statement: [Oborniki Śląskie, distanceFromWrocław, about 25 km northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromWrocław Context triple: [Oborniki Śląskie, distanceFromWrocław, about 25 km northwest]
-
A.
distanceToWrocławApproxKm
chosen
Indicates an approximate distance, measured in kilometers, between an entity and the city of Wrocław.
-
B.
distanceToKraków_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Kraków.
-
C.
distanceToKatowice
Indicates the spatial distance between a given entity and the city of Katowice.
-
D.
distanceToBydgoszcz
Indicates the spatial distance between a given place or object and the city of Bydgoszcz.
-
E.
distanceToPoznań_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Poznań.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: April 27, 2026, 11:47 a.m.