Triple
T6107824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tivoli family coaster model |
E136158
|
entity |
| Predicate | typicalLocationInPark |
P42576
|
FINISHED |
| Object | family or children’s area of amusement parks |
—
|
LITERAL 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: family or children’s area of amusement parks | Statement: [Tivoli family coaster model, typicalLocationInPark, family or children’s area of amusement parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLocationInPark Context triple: [Tivoli family coaster model, typicalLocationInPark, family or children’s area of amusement parks]
-
A.
stateParkLocation
Indicates that a state park is located within or associated with a specific geographic place or administrative region.
-
B.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
-
C.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
D.
openedInPark
Indicates that an entity was opened, inaugurated, or began operating within the boundaries of a park.
-
E.
themeParkAttractionLocation
chosen
Indicates the specific place or area within a theme park where a particular attraction is situated.
- F. None of above.
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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.