Triple
T8062859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberec |
E188165
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Liberec Zoo |
E709440
|
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: Liberec Zoo | Statement: [Liberec, hasLandmark, Liberec Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liberec Zoo Context triple: [Liberec, hasLandmark, Liberec Zoo]
-
A.
Liberec Zoo
chosen
Liberec Zoo is a zoological garden in Liberec, Czech Republic, known as the country's oldest zoo and home to a diverse collection of animal species.
-
B.
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.
-
C.
Ostrava Zoo
Ostrava Zoo is a zoological garden in Ostrava, Czech Republic, known for its extensive collection of animal species and large naturalistic enclosures.
-
D.
Prague Zoo
Prague Zoo is a major zoological garden in Prague renowned for its extensive animal collections, conservation programs, and scenic location along the Vltava River.
-
E.
Brno Zoo
Brno Zoo is a zoological garden in Brno, Czech Republic, known for its diverse animal collection, conservation programs, and educational exhibits.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fce95f08190b803956a20082e95 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93d44c3481908b6e95ce8c78c602 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:26 p.m.