Triple
T10743079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billabong Zoo |
E253376
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Billabong Zoo |
E253376
|
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: Billabong Zoo | Statement: [Billabong Zoo, name, Billabong Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billabong Zoo Context triple: [Billabong Zoo, name, Billabong Zoo]
-
A.
Billabong Zoo
chosen
Billabong Zoo is a wildlife park and conservation-focused zoo in Port Macquarie, New South Wales, known for its close-up encounters with Australian and exotic animals.
-
B.
Zona Zoo
Zona Zoo is the official student cheering section for University of Arizona athletics, known for its large, energetic presence at Wildcats sporting events.
-
C.
Sunset Zoo
Sunset Zoo is a small, community-focused zoological park in Manhattan, Kansas, known for its diverse animal exhibits, conservation efforts, and educational programs.
-
D.
Burgers Zoo
Burgers Zoo is a major Dutch zoological park in Arnhem known for its large, immersive ecological exhibits and diverse animal collections.
-
E.
Kanan Pendari Zoo
Kanan Pendari Zoo is a zoological park and popular recreational attraction located near Bilaspur in the Indian state of Chhattisgarh.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b5dd8c81908f1d9b126e4c3ae7 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdb0470a4819082c5eb1f43ee02e2 |
completed | April 12, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:15 p.m.