Triple
T3227244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giewont |
E67652
|
entity |
| Predicate | hasTouristTrailFrom |
P3625
|
FINISHED |
| Object | Kuźnice |
E333434
|
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: Kuźnice | Statement: [Giewont, hasTouristTrailFrom, Kuźnice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuźnice Context triple: [Giewont, hasTouristTrailFrom, Kuźnice]
-
A.
Kuźnice
chosen
Kuźnice is a popular mountain base and trailhead area in Zakopane, Poland, serving as a main starting point for hikes and cable car trips into the Tatra Mountains.
-
B.
Kuźnica
Kuźnica is a small Polish fishing village and seaside resort located on the Hel Peninsula along the Baltic Sea.
-
C.
Kruszewnia
Kruszewnia is a village in western Poland notable as the birthplace of German World War I general Erich Ludendorff.
-
D.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
E.
Korczyc
Korczyc is a Polish surname most notably borne by Władysław Korczyc, a general and political figure in mid-20th-century Poland.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27726f76c819092a199ae07a7e688 |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:08 p.m.