Triple
T4085305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlitterbahn Kansas City |
E87574
|
entity |
| Predicate | causeOfClosure |
P8451
|
FINISHED |
| Object | safety concerns |
—
|
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: safety concerns | Statement: [Schlitterbahn Kansas City, causeOfClosure, safety concerns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfClosure Context triple: [Schlitterbahn Kansas City, causeOfClosure, safety concerns]
-
A.
closureReason
chosen
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
reasonForDismissal
Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
-
D.
subjectToClosure
Indicates that an entity is liable or scheduled to be closed, discontinued, or shut down under certain conditions or plans.
-
E.
closureProcess
Indicates the procedure or set of actions carried out to formally conclude, finalize, or terminate an ongoing activity, case, or process.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7b7cc4819089cfbf2b1c23ccc5 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.