Triple
T10430063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian football pyramid |
E245887
|
entity |
| Predicate | includesSemiProfessionalLevels |
P91102
|
FINISHED |
| Object | 2. divisjon |
—
|
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. divisjon | Statement: [Norwegian football pyramid, includesSemiProfessionalLevels, 2. divisjon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSemiProfessionalLevels Context triple: [Norwegian football pyramid, includesSemiProfessionalLevels, 2. divisjon]
-
A.
includesSemiProfessionalLeagues
chosen
Indicates that the subject entity encompasses or contains semi-professional leagues within its structure or scope.
-
B.
semiProfessionalTiers
Indicates a relationship in which entities are organized or classified into tiers that represent semi-professional levels or statuses.
-
C.
hasAmateurLevel
Indicates that an entity possesses an amateur level of skill, experience, or proficiency in a given activity or domain.
-
D.
featuresSemiProfessionalClubs
Indicates that the subject includes or hosts semi-professional clubs as part of its structure or offerings.
-
E.
hasProfessionalTiers
Indicates that an entity is organized into or associated with multiple levels or categories of professional status, service, or access.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea62d6448190a7f5b785467824cf |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:13 p.m.