Triple
T31788929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IF Björklöven |
E811407
|
entity |
| Predicate | hasHistoricalTopTierParticipation |
P192816
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [IF Björklöven, hasHistoricalTopTierParticipation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalTopTierParticipation Context triple: [IF Björklöven, hasHistoricalTopTierParticipation, yes]
-
A.
participatedInTopDivision
chosen
Indicates that an entity has taken part in the highest competitive level or top-tier division of a given activity, league, or competition.
-
B.
hasCompetitionHistory
Indicates that an entity has a recorded history of participation in competitions or competitive events.
-
C.
hasPromotionToTopDivisionFrom
Indicates that an entity gains promotion to the top division originating from the specified lower division or competition.
-
D.
hasFluctuatingPresenceBetweenTopDivisions
Indicates that an entity alternates or moves back and forth between the highest-level divisions rather than maintaining a stable position in one.
-
E.
historicallyActiveIn
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: April 30, 2026, 11:38 p.m.