Triple
T27809914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Bayou Restaurant |
E702489
|
entity |
| Predicate | regionInspiredBy |
P14480
|
FINISHED |
| Object | American South |
—
|
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: American South | Statement: [Blue Bayou Restaurant, regionInspiredBy, American South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionInspiredBy Context triple: [Blue Bayou Restaurant, regionInspiredBy, American South]
-
A.
inspiredByPlace
chosen
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
B.
inspiredByOrRelatedTo
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
C.
partlyInspiredBy
Indicates that one entity has been influenced to some extent, but not wholly, by another entity in its creation, development, or form.
-
D.
countryInfluenced
Indicates that one country has exerted a significant political, economic, cultural, or military impact on another country.
-
E.
inspiredSettlement
Indicates that one entity’s ideas, actions, or example motivated or influenced the creation, development, or characteristics of a particular settlement.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 27, 2026, 5:41 p.m.