Triple
T24153921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarrell, Texas |
E598621
|
entity |
| Predicate | tornadoScale1997 |
P154804
|
FINISHED |
| Object | Fujita scale |
—
|
NE NERFINISHED |
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: Fujita scale | Statement: [Jarrell, Texas, tornadoScale1997, Fujita scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tornadoScale1997 Context triple: [Jarrell, Texas, tornadoScale1997, Fujita scale]
-
A.
tornadoIntensity2011
Indicates the intensity level associated with a tornado event that occurred in 2011.
-
B.
stormTypeAtLandfall
Indicates the classification or category of a storm at the specific time and location where it makes landfall.
-
C.
tornado2011Description
Indicates that the entity provides a textual description or summary of the 2011 tornado event.
-
D.
SaffirSimpsonScaleCategory
Indicates the hurricane’s classification level on the Saffir–Simpson scale based on its sustained wind speed and associated potential damage.
-
E.
typicalStormType
Indicates the kind of storm that is most commonly or characteristically associated with a given context or location.
- F. None of above. chosen
Provenance (4 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e2e83081908e543ef266a27ec9 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:31 p.m.