Triple
T24777616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chupwalas |
E619904
|
entity |
| Predicate | worldContext |
P50107
|
FINISHED |
| Object | Sea of Stories |
—
|
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: Sea of Stories | Statement: [Chupwalas, worldContext, Sea of Stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldContext Context triple: [Chupwalas, worldContext, Sea of Stories]
-
A.
worldDefinitionInContext
Indicates that a particular definition of a term or concept is specified as it applies within a given context or situation.
-
B.
worldType
Indicates the classification or category of world or environment that an entity is associated with.
-
C.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
D.
regionContext
Indicates the broader geographic or spatial setting within which an entity, event, or relationship is situated or interpreted.
-
E.
worldName
chosen
Indicates that an entity has or is associated with a specific world’s name.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410d3ea308190ae80cb7d5bf94249 |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:41 a.m.