Triple
T23272148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolling Fork, Mississippi |
E588316
|
entity |
| Predicate | impactOf2023Tornado |
P124172
|
FINISHED |
| Object | widespread destruction of homes and businesses |
—
|
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 and businesses | Statement: [Rolling Fork, Mississippi, impactOf2023Tornado, widespread destruction of homes and businesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOf2023Tornado Context triple: [Rolling Fork, Mississippi, impactOf2023Tornado, widespread destruction of homes and businesses]
-
A.
tornado2011Description
Indicates that the entity provides a textual description or summary of the 2011 tornado event.
-
B.
impactOfDisasters
chosen
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
-
C.
tornadoIntensity2011
Indicates the intensity level associated with a tornado event that occurred in 2011.
-
D.
consequenceOf2010Disaster
Indicates that something occurs as a result of, or is causally linked to, the 2010 disaster.
-
E.
Tornado ECR
Indicates that an entity is involved in an Engineering Change Request (ECR) specifically related to a tornado event, condition, or impact.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957518f88190bdd88ccc4e295668 |
completed | April 29, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:47 p.m.