Triple
T6447748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ger |
E139784
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Góra Kalwaria |
E594056
|
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: Góra Kalwaria | Statement: [Ger, namedAfter, Góra Kalwaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Góra Kalwaria Context triple: [Ger, namedAfter, Góra Kalwaria]
-
A.
Góra Kalwaria
chosen
Góra Kalwaria is a town in east-central Poland, historically known as a religious center and important Jewish cultural hub near Warsaw.
-
B.
Wierzbanowska Góra
Wierzbanowska Góra is a mountain peak in southern Poland located within the Beskid Wyspowy range of the Western Beskids.
-
C.
Kasprowy Wierch
Kasprowy Wierch is a popular peak in the Tatra Mountains on the Polish–Slovak border, known for its ski slopes, hiking trails, and panoramic alpine views.
-
D.
Szklarska Poręba
Szklarska Poręba is a popular Polish mountain resort town known for skiing, hiking, and scenic landscapes in the Karkonosze range near the Czech border.
-
E.
Trzydniowiański Wierch
Trzydniowiański Wierch is a scenic peak in the Western Tatras of southern Poland, popular with hikers for its panoramic views over surrounding valleys and ridges.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069afd8c48190b3cab580c813ecab |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65392a6c08190b868fab12260d6c2 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:47 p.m.