Triple
T18196863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tychy |
E435682
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bieruń |
—
|
NE NERFINISHED |
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: Bieruń | Statement: [Tychy, locatedNear, Bieruń]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bieruń Context triple: [Tychy, locatedNear, Bieruń]
-
A.
Bieruń
chosen
Bieruń is a small town in southern Poland known for its historic architecture, coal-mining heritage, and location within the Silesian Voivodeship.
-
B.
Byczyna
Byczyna is a historic small town in southwestern Poland known for its well-preserved medieval urban layout and defensive walls.
-
C.
Borów
Borów is a small settlement located within the administrative district of Gmina Bukowno in southern Poland.
-
D.
Siewierz
Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
-
E.
Gubałówka
Gubałówka is a popular hill and tourist destination in the Polish Tatra region, known for its panoramic views of Zakopane and the surrounding mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d377d48190869a033d12f6ee80 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.