Triple
T20214056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poznań Zoo |
E493567
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | New Zoo in Poznań |
—
|
NE NERFINISHED |
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: New Zoo in Poznań | Statement: [Poznań Zoo, hasPart, New Zoo in Poznań]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Zoo in Poznań Context triple: [Poznań Zoo, hasPart, New Zoo in Poznań]
-
A.
Poznań Zoo
chosen
Poznań Zoo is a major zoological garden in Poznań, Poland, known for its diverse collection of animal species and expansive natural enclosures.
-
B.
Wrocław Zoo
Wrocław Zoo is one of Poland’s oldest and largest zoological gardens, renowned for its extensive animal collection and the Africarium oceanarium complex.
-
C.
Warsaw Zoo
Warsaw Zoo is a major zoological garden in Warsaw, Poland, known for its diverse animal collection and role in wildlife conservation and education.
-
D.
Silesian Zoological Garden
The Silesian Zoological Garden is a large zoo and recreational park in the Silesian region of Poland, known for its diverse animal collection and educational exhibits.
-
E.
Plzeň Zoo
Plzeň Zoo is a major zoological garden in the Czech city of Plzeň, known for its diverse animal collection and role in conservation and education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.