Triple
T20195437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Ninth Ward, New Orleans |
E493070
|
entity |
| Predicate | floodCauseDuringHurricaneKatrina |
P34423
|
FINISHED |
| Object | levee failures |
—
|
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: levee failures | Statement: [Lower Ninth Ward, New Orleans, floodCauseDuringHurricaneKatrina, levee failures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodCauseDuringHurricaneKatrina Context triple: [Lower Ninth Ward, New Orleans, floodCauseDuringHurricaneKatrina, levee failures]
-
A.
floodCause
chosen
Indicates that one entity is the cause or source of a flood affecting another entity or area.
-
B.
floodSeasonCause
Indicates the cause or contributing factor responsible for a particular flood season occurring.
-
C.
percentageOfNewOrleansFlooded
Indicates the proportion of New Orleans’ area that is covered or inundated by floodwaters.
-
D.
hurricaneKatrinaLandfallYear
Indicates the calendar year in which Hurricane Katrina made landfall.
-
E.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad8b3cc8190aa9c9c79c552002a |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.