Triple
T3207358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolina Chochołowska |
E67195
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Chochołowski Potok |
E67195
|
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: Chochołowski Potok | Statement: [Dolina Chochołowska, river, Chochołowski Potok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chochołowski Potok Context triple: [Dolina Chochołowska, river, Chochołowski Potok]
-
A.
Dolina Chochołowska
chosen
Dolina Chochołowska is the largest and one of the most scenic valleys in the Polish Tatra Mountains, known for its extensive hiking trails and spring crocus blooms.
-
B.
Chojnice
Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa58340881908347d772cfa0ac4c |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bcf7b2481908bc52cfa71bd313c |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.