Triple
T7686954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trzy Korony massif |
E174141
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Okrąglica |
E681701
|
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: Okrąglica | Statement: [Trzy Korony massif, hasPeak, Okrąglica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okrąglica Context triple: [Trzy Korony massif, hasPeak, Okrąglica]
-
A.
Okrąglica
chosen
Okrąglica is the highest peak of the Trzy Korony massif in Poland’s Pieniny Mountains, known for its panoramic views over the Dunajec River Gorge.
-
B.
Niżnia Okrąglica
Niżnia Okrąglica is one of the prominent rocky summits of the Trzy Korony massif in Poland’s Pieniny Mountains, known for its dramatic limestone cliffs and scenic views over the Dunajec River Gorge.
-
C.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
-
D.
Kolo
Kolo is an alternative name for the Ewondo language, a Bantu language spoken primarily in Cameroon.
-
E.
Sokołówka
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7022352088190b2510d5fac55864f |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8aca0b5b08190b178f0908612164c |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:02 p.m.