Triple
T8445582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Östersunds FK |
E199665
|
entity |
| Predicate | qualifiedForEuropaLeague |
P19216
|
FINISHED |
| Object | 2017–18 |
—
|
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: 2017–18 | Statement: [Östersunds FK, qualifiedForEuropaLeague, 2017–18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualifiedForEuropaLeague Context triple: [Östersunds FK, qualifiedForEuropaLeague, 2017–18]
-
A.
typicalEuropaLeagueSpots
Indicates the usual number or range of league positions that qualify a team for the UEFA Europa League in a given competition or season.
-
B.
eligibleClubs
chosen
Indicates that certain clubs meet the required criteria or conditions to qualify for a specified status, activity, or benefit.
-
C.
numberOfQualifiedTeamsFromEurope
Indicates the count of teams from Europe that meet the specified qualification criteria.
-
D.
wonUEFAEuropaConferenceLeagueYear
Indicates that the subject won the UEFA Europa Conference League in the specified year.
-
E.
associatedWithTopEuropeanClubs
Indicates a relationship where an entity has a notable connection or affiliation with leading professional football clubs in Europe.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3138ee08190918cd82adbe2d9a1 |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:09 p.m.