Triple
T7060483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odense |
E164202
|
entity |
| Predicate | hasCulturalAttraction |
P3114
|
FINISHED |
| Object | Odense Zoo |
E179747
|
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: Odense Zoo | Statement: [Odense, hasCulturalAttraction, Odense Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odense Zoo Context triple: [Odense, hasCulturalAttraction, Odense Zoo]
-
A.
Odense Zoo
chosen
Odense Zoo is a popular Danish zoological garden in the city of Odense, known for its diverse animal collections and family-friendly exhibits.
-
B.
Tallinn Zoo
Tallinn Zoo is a major zoological park in Tallinn, Estonia, known for its diverse collection of animal species and active conservation and education programs.
-
C.
Kristiansand Zoo and Amusement Park
Kristiansand Zoo and Amusement Park is one of Norway’s largest and most popular family attractions, combining a diverse animal park with themed rides and entertainment areas.
-
D.
Ostrava Zoo
Ostrava Zoo is a zoological garden in Ostrava, Czech Republic, known for its extensive collection of animal species and large naturalistic enclosures.
-
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 (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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e459de348190912cd5326fb8bee0 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788af20cc819084542035410aafbd |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:38 p.m.