Triple
T18797354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish football league system |
E459670
|
entity |
| Predicate | thirdTierNumberOfDivisions |
P133052
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Swedish football league system, thirdTierNumberOfDivisions, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdTierNumberOfDivisions Context triple: [Swedish football league system, thirdTierNumberOfDivisions, 2]
-
A.
thirdTier
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
-
B.
hasThirdDivision
Indicates that an entity possesses or is associated with a third-level division or subdivision within a hierarchical structure.
-
C.
topLevelDivisionCount
Indicates the number of primary administrative or organizational divisions directly under a given entity.
-
D.
statusOfThirdDivision
Indicates the current state or condition assigned to a specified third division within a larger structure or system.
-
E.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
- F. None of above. chosen
Provenance (4 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a020821881909749f6a1c6cd195b |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:53 a.m.