Triple
T15535107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Circuit |
E370319
|
entity |
| Predicate | intendedSkillLevel |
P100059
|
FINISHED |
| Object | novice |
—
|
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: novice | Statement: [Luigi Circuit, intendedSkillLevel, novice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedSkillLevel Context triple: [Luigi Circuit, intendedSkillLevel, novice]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
intendedPlayerLevel
chosen
Indicates the player level for which something (such as content, an item, or a challenge) is designed or meant to be used.
-
C.
requiresSkillLevel
Indicates that performing or engaging in something depends on possessing at least a specified level of skill.
-
D.
servesSkillLevel
Indicates that one entity provides or is appropriate for a particular level of skill in another entity.
-
E.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.