Triple
T13821812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hala Gąsienicowa |
E332155
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Świnica |
E1463034
|
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: Świnica | Statement: [Hala Gąsienicowa, locatedNear, Świnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Świnica Context triple: [Hala Gąsienicowa, locatedNear, Świnica]
-
A.
Świnica
chosen
Świnica is a prominent peak in the High Tatras on the Polish–Slovak border, popular with hikers for its rugged ridges and panoramic alpine views.
-
B.
Świnoujście
Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
-
C.
Ścinawa
Ścinawa is a historic town in southwestern Poland, situated on the Oder River in the Lower Silesian region.
-
D.
Świdnik
Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
-
E.
Szczecinek
Szczecinek is a town in northwestern Poland known for its lakeside setting, historic architecture, and role as a local economic and cultural center in the West Pomeranian Voivodeship.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0284428081908043c55caeefb833 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09504e01b48190a7a40215c542580c |
completed | May 17, 2026, 5:21 a.m. |
Created at: April 9, 2026, 10:12 p.m.