Triple
T8413305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ristar |
E198672
|
entity |
| Predicate | bossFeature |
P81861
|
FINISHED |
| Object | unique boss encounters on each planet |
—
|
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: unique boss encounters on each planet | Statement: [Ristar, bossFeature, unique boss encounters on each planet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bossFeature Context triple: [Ristar, bossFeature, unique boss encounters on each planet]
-
A.
administrativeFeature
Indicates that one entity serves as an administrative or governance-related feature, function, or attribute associated with another entity.
-
B.
facadeFeature
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
C.
nestFeature
Indicates that one entity is a structural or functional component contained within, or forming part of, another entity.
-
D.
maintenanceFeature
Indicates that one entity serves as a maintenance-related feature, capability, or component associated with another entity.
-
E.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:06 p.m.