Triple
T13914240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bystra |
E334576
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Bystra |
unclear NED1
|
NE 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: Bystra | Statement: [Bystra, hasNameInEnglish, Bystra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bystra Context triple: [Bystra, hasNameInEnglish, Bystra]
-
A.
Bystra
Bystra is a prominent peak in the Western Tatras, known as the highest summit on the Slovak side of this mountain range.
-
B.
Bystra
Bystra is a village in southern Poland that serves as the administrative center of the rural Gmina Bystra-Sidzina.
-
C.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
D.
Bystra Śląska
Bystra Śląska is a village in southern Poland, located in the Silesian Beskids near Bielsko-Biała.
-
E.
Góra
Góra is a town in southwestern Poland known as the seat of Góra County in the Lower Silesian Voivodeship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27245c648190b2946845ce0fdbf8 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72a345481908f8552bca7bb1a5a |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.