Triple
T23038726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legoland Florida |
E573677
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Miniland USA |
—
|
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: Miniland USA | Statement: [Legoland Florida, hasSection, Miniland USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miniland USA Context triple: [Legoland Florida, hasSection, Miniland USA]
-
A.
MINILAND
chosen
MINILAND is a detailed miniature world built from LEGO bricks, typically depicting local landmarks and cityscapes in interactive, small-scale form.
-
B.
Modelland
Modelland is a young adult fantasy novel by supermodel Tyra Banks that satirically explores the world of modeling through a magical, dystopian academy.
-
C.
Miniatur Wunderland
Miniatur Wunderland is a world-famous model railway and miniature world attraction in Hamburg, Germany, featuring intricately detailed landscapes, cities, and interactive displays.
-
D.
Vikeland
Vikeland is a small settlement located within the municipality of Kvæfjord in Troms og Finnmark county, Norway.
-
E.
Small World Park
Small World Park is a family-friendly amusement and recreation park in Pittsburg, California, featuring rides, picnic areas, and attractions geared primarily toward young children.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185121da0819095b523d7d2c923ab |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.