Triple
T21803346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xplor Fuego |
E538289
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Xplor Park |
—
|
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: Xplor Park | Statement: [Xplor Fuego, partOf, Xplor Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xplor Park Context triple: [Xplor Fuego, partOf, Xplor Park]
-
A.
Xplor Park
chosen
Xplor Park is an adventure theme park in Mexico’s Riviera Maya known for its zip-lines, underground rivers, and other outdoor eco-adventure activities.
-
B.
JungleWorld
JungleWorld is an immersive indoor rainforest exhibit at the Bronx Zoo featuring tropical plants, animals, and ecosystems from Asian jungle habitats.
-
C.
Ekoparken
Ekoparken is the world’s first national city park, a large green corridor in Stockholm that combines protected natural landscapes with historic royal parks and cultural sites.
-
D.
Oranjepark
Oranjepark is a historic public park in Apeldoorn, Netherlands, known for its landscaped greenery, walking paths, and cultural events.
-
E.
Calauit Safari Park
Calauit Safari Park is a wildlife sanctuary in the Philippines known for hosting African and endemic Philippine animal species in a safari-style setting.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
Created at: April 16, 2026, 6:53 p.m.