Triple
T28580670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 New Orleans Saints season |
E723364
|
entity |
| Predicate | symbolOfPostKatrinaResilience |
P167367
|
FINISHED |
| Object | New Orleans |
—
|
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: New Orleans | Statement: [2009 New Orleans Saints season, symbolOfPostKatrinaResilience, New Orleans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolOfPostKatrinaResilience Context triple: [2009 New Orleans Saints season, symbolOfPostKatrinaResilience, New Orleans]
-
A.
reconstructionSymbolizes
Indicates that a reconstruction serves as a symbolic representation or stand-in for something else, such as an original object, event, or concept.
-
B.
impactOfDisasters
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
-
C.
cityRebuiltAfter
Indicates that a city was reconstructed or significantly restored following a prior event of destruction or severe damage.
-
D.
disasterDepicted
Indicates that one entity visually represents or portrays a disaster involving or affecting another entity.
-
E.
residenceAfterFlood
Indicates that an entity’s place of residence is the one occupied after a flood event has occurred.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 4:14 a.m.