Triple
T18608097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akane |
E454811
|
entity |
| Predicate | worldParallels |
P132768
|
FINISHED |
| Object | parallels Sweetwater narrative |
—
|
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: parallels Sweetwater narrative | Statement: [Akane, worldParallels, parallels Sweetwater narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldParallels Context triple: [Akane, worldParallels, parallels Sweetwater narrative]
-
A.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
B.
otherContinent
Indicates that two entities are located on different continents from one another.
-
C.
worldType
Indicates the classification or category of world or environment that an entity is associated with.
-
D.
worldStyle
Indicates the stylistic or aesthetic manner in which a world, setting, or environment is presented or designed.
-
E.
worldAssociation
Indicates a broad, often global-level connection or affiliation between entities, such as membership, involvement, or linkage within a worldwide context.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54cff3be8819080ab20045bd18a4d |
completed | April 19, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:45 a.m.