Triple
T10849913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoombezi Bay |
E256116
|
entity |
| Predicate | openedAs |
P6141
|
FINISHED |
| Object | Zoombezi Bay |
E256116
|
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: Zoombezi Bay | Statement: [Zoombezi Bay, openedAs, Zoombezi Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoombezi Bay Context triple: [Zoombezi Bay, openedAs, Zoombezi Bay]
-
A.
Zoombezi Bay
chosen
Zoombezi Bay is a popular outdoor water park in Ohio known for its water slides, wave pools, and family-friendly attractions.
-
B.
Sodwana Bay
Sodwana Bay is a renowned coastal destination in South Africa famous for its rich marine biodiversity, coral reefs, and world-class scuba diving and snorkeling opportunities.
-
C.
Kinzua Bay
Kinzua Bay is a scenic inlet of the Allegheny Reservoir in northwestern Pennsylvania, known for its forested shoreline and recreational opportunities like boating and fishing.
-
D.
Tembe
Tembe is an indigenous language of the Tupi–Guaraní family spoken by the Tembé people of northern Brazil.
-
E.
Kazinga Channel
Kazinga Channel is a natural waterway in western Uganda that links Lake Edward and Lake George and is renowned for its rich wildlife and scenic boat safaris.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75115e4a88190b77be46b63db0c84 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb17d978c8190883b4a56e88859de |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.