Triple
T13617326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masovian Voivodeship (1526–1795) |
E325350
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Serock Land |
E836587
|
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: Serock Land | Statement: [Masovian Voivodeship (1526–1795), contains, Serock Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serock Land Context triple: [Masovian Voivodeship (1526–1795), contains, Serock Land]
-
A.
Serock
chosen
Serock is a locality situated near the Western Bug River in eastern Europe.
-
B.
Poznań Land
Poznań Land is a historical region in west-central Poland centered around the city of Poznań, forming a core part of the Greater Poland area.
-
C.
Nowogard
Nowogard is a small town in northwestern Poland known for its historic architecture and surrounding lakes and forests.
-
D.
Załęski
Załęski is a Polish surname, a diacritic variant of Zaleski, borne by individuals and families of Polish origin.
-
E.
Rawszczyzna
Rawszczyzna is a major indoor swimming and sports complex in Ostrowiec Świętokrzyski, Poland, known for hosting local and national aquatic events.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ae77e0819081e3b14642460dc6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa0b81c819094e2fa209ef9857c |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.