Triple
T10878313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LittleBigPlanet |
E256853
|
entity |
| Predicate | supportsUserCreatedLevels |
P96204
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [LittleBigPlanet, supportsUserCreatedLevels, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUserCreatedLevels Context triple: [LittleBigPlanet, supportsUserCreatedLevels, yes]
-
A.
hasUsageLevel
Indicates the degree or intensity with which something is used or utilized.
-
B.
supportsTeamLevel
Indicates that one entity provides assistance, resources, or endorsement to a team as a whole rather than to individual members.
-
C.
hasCertificationLevels
Indicates that an entity possesses one or more defined levels or tiers of certification within a particular certification scheme or program.
-
D.
supportsMultiuser
Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
-
E.
hasRankLevels
Indicates that an entity is associated with one or more hierarchical rank levels within a ranking or grading system.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ae92548190a3563c5b18650a32 |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.