Triple
T1065097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Katrina |
E22990
|
entity |
| Predicate | notableEvacuation |
P23041
|
FINISHED |
| Object | pre-storm evacuation of New Orleans |
—
|
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: pre-storm evacuation of New Orleans | Statement: [Hurricane Katrina, notableEvacuation, pre-storm evacuation of New Orleans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEvacuation Context triple: [Hurricane Katrina, notableEvacuation, pre-storm evacuation of New Orleans]
-
A.
numberOfEvacuated
Indicates the total count of individuals who have been evacuated from a location or situation.
-
B.
notableEarthquake
Indicates that an earthquake event is significant or noteworthy due to its magnitude, impact, or historical importance.
-
C.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
D.
notableRally
Indicates a rally or gathering that is distinguished by particular significance, impact, or prominence compared to ordinary rallies.
-
E.
notableState
Indicates that an entity is significantly associated with, recognized in, or prominently linked to a particular state (such as a U.S. state or similar regional jurisdiction).
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.