Triple
T9189134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olecko |
E220535
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Marggrabowa |
E375511
|
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: Marggrabowa | Statement: [Olecko, formerName, Marggrabowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marggrabowa Context triple: [Olecko, formerName, Marggrabowa]
-
A.
Grabow
Grabow is a small town in northern Germany, known for its historic architecture and location along the Elde River in the state of Mecklenburg-Vorpommern.
-
B.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
-
C.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
D.
Gubałówka
Gubałówka is a popular hill and tourist destination in the Polish Tatra region, known for its panoramic views of Zakopane and the surrounding mountains.
-
E.
Mrągowo
chosen
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bd8c5c81909d0cdbcd7410fcee |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c272f508190aade1769c88cf16d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.