Triple
T27090051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceanside Wellness Group |
E686138
|
entity |
| Predicate | countryOfOriginFictionalWork |
P82660
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Oceanside Wellness Group, countryOfOriginFictionalWork, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginFictionalWork Context triple: [Oceanside Wellness Group, countryOfOriginFictionalWork, United States]
-
A.
countryOfOriginFictional
chosen
Indicates that a fictional work, character, or element originates from or is associated with a particular country within its narrative or setting.
-
B.
countryOfFictionalContext
Indicates that a work of fiction is primarily set in, or contextually associated with, a particular country.
-
C.
nationalityOfFictionalSetting
Indicates that a fictional setting is associated with, or belongs to, a particular nationality or country.
-
D.
placeOfOriginInFiction
Indicates that a fictional character, object, or entity originates from or is first introduced in a specified fictional location or setting.
-
E.
countryOfRegistryInFiction
Indicates the fictional country in which an entity (such as a vehicle, vessel, or organization) is officially registered or flagged within a fictional context.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 27, 2026, 8:40 a.m.