Triple
T6688121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joplin, Missouri |
E152150
|
entity |
| Predicate | tornado2011Damage |
P54661
|
FINISHED |
| Object | widespread destruction of homes, businesses, and infrastructure |
—
|
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: widespread destruction of homes, businesses, and infrastructure | Statement: [Joplin, Missouri, tornado2011Damage, widespread destruction of homes, businesses, and infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tornado2011Damage Context triple: [Joplin, Missouri, tornado2011Damage, widespread destruction of homes, businesses, and infrastructure]
-
A.
regionAffectedByNamedStorms
Indicates that a geographic region is impacted or influenced by one or more specifically named storms.
-
B.
infrastructureDamage
chosen
Indicates damage or destruction affecting physical infrastructure such as buildings, roads, utilities, or other constructed facilities.
-
C.
earthquakeDamageLevel2010
Indicates the severity or extent of damage caused by earthquakes in the year 2010.
-
D.
numberOfDistrictsHeavilyDamaged
Indicates the count of districts that have sustained severe or heavy damage in a given context or event.
-
E.
lastStormDissipated
Indicates that the most recent storm in a given context has ended and lost its organized structure or intensity.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.