Triple
T23840831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finland men's national ice hockey team |
E590982
|
entity |
| Predicate | WorldRankingHigh |
P733
|
FINISHED |
| Object | regularly ranked in IIHF top 5 |
—
|
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: regularly ranked in IIHF top 5 | Statement: [Finland men's national ice hockey team, WorldRankingHigh, regularly ranked in IIHF top 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldRankingHigh Context triple: [Finland men's national ice hockey team, WorldRankingHigh, regularly ranked in IIHF top 5]
-
A.
globalRanking
chosen
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
B.
fihWorldRankingTop10
Indicates that the entity is ranked within the top 10 in the FIH (International Hockey Federation) world rankings.
-
C.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
D.
fifaRankingHighest
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
-
E.
eloHighestRanking
Indicates that one entity holds the highest Elo rating or ranking within a specified group or context relative to other entities.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88797d4819081831fd3f8822ef4 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:08 p.m.