Triple
T16096397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashyyyk |
E390493
|
entity |
| Predicate | upperLevels |
P121884
|
FINISHED |
| Object | Wookiee settlements |
—
|
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: Wookiee settlements | Statement: [Kashyyyk, upperLevels, Wookiee settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperLevels Context triple: [Kashyyyk, upperLevels, Wookiee settlements]
-
A.
upperLevelConnects
Indicates a connection where one entity links to or interfaces with another at a higher or superior level in a hierarchy or structure.
-
B.
upperGrade
Indicates that one entity is in a higher grade level than another entity.
-
C.
upperCourseOf
Indicates that one watercourse represents the upstream or higher-elevation segment of another watercourse within the same river system.
-
D.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
-
E.
frontLevel
Indicates a relationship where one entity is positioned at or aligned with the foremost or leading level relative to another reference point or structure.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.