Triple
T25459895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latvia national football team |
E638014
|
entity |
| Predicate | ELOminRanking |
P120041
|
FINISHED |
| Object | 145 |
—
|
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: 145 | Statement: [Latvia national football team, ELOminRanking, 145]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ELOminRanking Context triple: [Latvia national football team, ELOminRanking, 145]
-
A.
EloRating
chosen
Indicates a competitive skill rating assigned to an entity, typically updated over time based on performance against other rated entities.
-
B.
powerRating
Indicates the level or amount of power associated with an entity, typically expressing its strength, capacity, or performance capability.
-
C.
ESRBrating
Indicates the official content rating assigned to a game or media product by the ESRB, reflecting its suitability for different age groups.
-
D.
hasRankingStrength
Indicates the relative strength or priority of an entity’s ranking compared to others in a given ordering or evaluation.
-
E.
fifaLikeRankingType
Indicates a ranking system or classification that follows the style, rules, or methodology of FIFA’s official rankings.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72a452c8190b53c90a8a725dd69 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:11 p.m.