Triple
T6058473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czarna Góra |
E134971
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Czarna Góra (Polish) |
E134971
|
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: Czarna Góra (Polish) | Statement: [Czarna Góra, hasNameInLanguage, Czarna Góra (Polish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czarna Góra (Polish) Context triple: [Czarna Góra, hasNameInLanguage, Czarna Góra (Polish)]
-
A.
Czarna Góra
chosen
Czarna Góra is a village in southern Poland, known as a mountain resort area in the Tatra region.
-
B.
Góra
Góra is a town in southwestern Poland known as the seat of Góra County in the Lower Silesian Voivodeship.
-
C.
Świątniki Górne
Świątniki Górne is a small town in southern Poland, situated near Kraków and known for its traditional locksmithing and metalworking industries.
-
D.
Łysa Góra
Łysa Góra is one of the highest and most famous peaks of Poland’s Świętokrzyskie (Holy Cross) Mountains, known for its ancient pagan cult sites, medieval monastery, and distinctive stone runs.
-
E.
Babia Góra
Babia Góra is a prominent mountain on the Polish–Slovak border, renowned for its rugged landscapes, unique alpine flora, and status as a UNESCO-designated biosphere reserve.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570e64408190ae7a2504f63bb58a |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d0e06288190b4389b43825d5929 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:10 p.m.