Triple
T7517755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golf Disneyland |
E177687
|
entity |
| Predicate | openedForPlay |
P421
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Golf Disneyland, openedForPlay, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForPlay Context triple: [Golf Disneyland, openedForPlay, 1990s]
-
A.
openedForUse
Indicates that something has been made accessible and available for its intended operation or use.
-
B.
openedForUseBy
Indicates that something has been made available or activated so that a particular entity can use it.
-
C.
openingBegan
Indicates that the process of opening something has started.
-
D.
opened
chosen
Indicates that one entity caused another entity (such as an object, container, or passage) to change from a closed or inaccessible state to an open or accessible state.
-
E.
openedForUseAs
Indicates that something was made available and began functioning in the capacity or role specified by another entity or purpose.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f6ccc8819080ffd123fdd59a50 |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.