Triple
T18322219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoo Atlanta |
E438910
|
entity |
| Predicate | hasExhibit |
P35
|
FINISHED |
| Object | Asian Forest |
—
|
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: Asian Forest | Statement: [Zoo Atlanta, hasExhibit, Asian Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asian Forest Context triple: [Zoo Atlanta, hasExhibit, Asian Forest]
-
A.
Asian Forest Sanctuary
chosen
Asian Forest Sanctuary is a themed zoo exhibit that recreates Asian forest habitats to showcase and conserve species such as tigers, elephants, and other wildlife from the region.
-
B.
Japan Forest
Japan Forest is a themed exhibit area at Osaka’s Aquarium Kaiyukan that recreates a lush Japanese woodland ecosystem with native plants and animals.
-
C.
Southeast Asian rainforests
Southeast Asian rainforests are vast, biodiverse tropical forests known for their rich ecosystems, high rainfall, and critical role in global climate regulation.
-
D.
Karura Forest
Karura Forest is a protected urban forest in Nairobi, Kenya, known for its walking trails, waterfalls, caves, and rich biodiversity.
-
E.
Forêt d’Orient
Forêt d’Orient is a large forested area in northeastern France known for its lakes, wetlands, and rich biodiversity within the Champagne region.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa7be288190983f13e9c7061b6d |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.