Triple
T17212956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Tatras National Park |
E417776
|
entity |
| Predicate | hasHighestPeak |
P1674
|
FINISHED |
| Object | Ďumbier |
E300713
|
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: Ďumbier | Statement: [Low Tatras National Park, hasHighestPeak, Ďumbier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ďumbier Context triple: [Low Tatras National Park, hasHighestPeak, Ďumbier]
-
A.
Ďumbier
chosen
Ďumbier is a prominent mountain peak in central Slovakia known for its alpine scenery, hiking trails, and panoramic views over the surrounding Carpathian ranges.
-
B.
Nabo
Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
-
C.
Dubiecko
Dubiecko is a small historic town in southeastern Poland, known as the birthplace of Enlightenment-era poet and bishop Ignacy Krasicki.
-
D.
Barbula
Barbula was a cognomen of the ancient Roman gens Aemilia, borne by several members of this prominent patrician family.
-
E.
Dobriner
Dobriner is a German-language surname most notably borne by Ernst Dobriner.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc68a2c81908564231853b40db9 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674fadc48190aa4a627ec9f72341 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.