Triple
T11771390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brezno |
E279905
|
entity |
| Predicate | hasNearbyPeak |
P7612
|
FINISHED |
| Object | Chopok |
E300714
|
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: Chopok | Statement: [Brezno, hasNearbyPeak, Chopok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chopok Context triple: [Brezno, hasNearbyPeak, Chopok]
-
A.
Chopok
chosen
Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
-
B.
Podchorążówka
Podchorążówka is a historic building within Warsaw’s Royal Łazienki complex, best known as the site where the November Uprising of 1830 against Russian rule was initiated by Polish military cadets.
-
C.
Czaplinek
Czaplinek is a small historic town in northwestern Poland known for its lakeside setting and proximity to the Drawsko Landscape Park.
-
D.
Bochek
Bochek is a water slide attraction at the infamous Action Park amusement and water park in New Jersey.
-
E.
Choma
Choma is a town in southern Zambia that serves as an important administrative and commercial center for the surrounding agricultural region.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55c9f988190b203b66a28c767ae |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09086c4ec81908bc8b707a49c3ac2 |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.