Triple
T12062717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazury |
E287213
|
entity |
| Predicate | hasNameInPolish |
P15778
|
FINISHED |
| Object | Mazury |
E287213
|
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: Mazury | Statement: [Mazury, hasNameInPolish, Mazury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazury Context triple: [Mazury, hasNameInPolish, Mazury]
-
A.
Mazury
chosen
Mazury, also known as Masuria, is a picturesque lake district in northeastern Poland famed for its thousands of lakes, forests, and outdoor recreation opportunities.
-
B.
Rawszczyzna
Rawszczyzna is a major indoor swimming and sports complex in Ostrowiec Świętokrzyski, Poland, known for hosting local and national aquatic events.
-
C.
Banie Mazurskie
Banie Mazurskie is a village in northern Poland known for its location in the picturesque lake district of the Warmian-Masurian Voivodeship.
-
D.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
-
E.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043f82248190b05692aa0dc178a8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f654eb1881908d656009f1362ecf |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.