Triple
T6095184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orleans Parish |
E135858
|
entity |
| Predicate | HurricaneKatrinaImpactDate |
P27390
|
FINISHED |
| Object | 2005-08-29 |
—
|
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: 2005-08-29 | Statement: [Orleans Parish, HurricaneKatrinaImpactDate, 2005-08-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HurricaneKatrinaImpactDate Context triple: [Orleans Parish, HurricaneKatrinaImpactDate, 2005-08-29]
-
A.
hurricaneKatrinaLandfallYear
Indicates the calendar year in which Hurricane Katrina made landfall.
-
B.
secondMajorLandfallDate
Indicates the calendar date on which an entity, such as a storm or similar event, makes its second significant landfall.
-
C.
reachedHurricaneStatusOn
Indicates the date or time at which a storm system intensified enough to be classified as a hurricane.
-
D.
dateOfTragedy
chosen
Indicates the specific calendar date on which a tragic event occurred.
-
E.
percentageOfNewOrleansFlooded
Indicates the proportion of New Orleans’ area that is covered or inundated by floodwaters.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a963bac8190bc0c33fef187875c |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.