Triple
T20195440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Ninth Ward, New Orleans |
E493070
|
entity |
| Predicate | populationTrendAfterHurricaneKatrina |
P71532
|
FINISHED |
| Object | sharp decline |
—
|
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: sharp decline | Statement: [Lower Ninth Ward, New Orleans, populationTrendAfterHurricaneKatrina, sharp decline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationTrendAfterHurricaneKatrina Context triple: [Lower Ninth Ward, New Orleans, populationTrendAfterHurricaneKatrina, sharp decline]
-
A.
percentageOfNewOrleansFlooded
Indicates the proportion of New Orleans’ area that is covered or inundated by floodwaters.
-
B.
BayouClassicCity
Indicates that a location serves as the host city or primary venue for the Bayou Classic event.
-
C.
populationBeforeEvacuation
Indicates the number of individuals present in a specified place or group prior to an evacuation event.
-
D.
populationLoss
chosen
Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
-
E.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
- 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.