Triple
T23247110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemper Arena |
E581610
|
entity |
| Predicate | roofCollapseCause |
P124580
|
FINISHED |
| Object | heavy rain |
—
|
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: heavy rain | Statement: [Kemper Arena, roofCollapseCause, heavy rain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofCollapseCause Context triple: [Kemper Arena, roofCollapseCause, heavy rain]
-
A.
roofCollapsed
Indicates that the roof of a structure has given way or fallen in, typically due to structural failure or external forces.
-
B.
ceilingCollapseFatalities
Indicates that a ceiling collapse event resulted in one or more fatalities.
-
C.
towerCollapsedIn
Indicates that a tower underwent structural failure and collapsed at or within a specified location or context.
-
D.
collapseType
chosen
Indicates the specific manner or category of failure by which something collapses or structurally gives way.
-
E.
reasonForDemolition
Indicates the cause, justification, or circumstance that led to a structure or object being demolished.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f1e8448190b8420a8dc6e24576 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.