Triple
T3033025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway men's national ice hockey team |
E82941
|
entity |
| Predicate | IIHFRankingType |
P12242
|
FINISHED |
| Object | men's ranking |
—
|
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: men's ranking | Statement: [Norway men's national ice hockey team, IIHFRankingType, men's ranking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IIHFRankingType Context triple: [Norway men's national ice hockey team, IIHFRankingType, men's ranking]
-
A.
rankingType
chosen
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
B.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
C.
hasRankingCategory
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
-
D.
inspiredRanks
Indicates that one entity’s example, achievement, or influence motivates another entity to improve or elevate its status, performance, or position.
-
E.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9af13ce48190bda4f5ca0ffe6285 |
completed | March 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.