Triple
T32625311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football League Fourth Division |
E834038
|
entity |
| Predicate | professionalOrSemiProfessional |
P175492
|
FINISHED |
| Object | professional |
—
|
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: professional | Statement: [Football League Fourth Division, professionalOrSemiProfessional, professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalOrSemiProfessional Context triple: [Football League Fourth Division, professionalOrSemiProfessional, professional]
-
A.
isSemiProfessional
Indicates that an entity participates in an activity at a level between amateur and fully professional, often receiving some compensation but not as a primary occupation.
-
B.
professionalClass
Indicates that an entity belongs to, or is categorized within, a particular professional or occupational class.
-
C.
professionalBase
Indicates that one entity serves as the primary professional location, organization, or base of operations for another entity.
-
D.
semiProfessionalTiers
Indicates a relationship in which entities are organized or classified into tiers that represent semi-professional levels or statuses.
-
E.
professionalSince
Indicates the point in time when an entity began its professional activity or career in a given role or field.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:06 a.m.