Triple
T22648553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinnor Rugby Football Club |
E559031
|
entity |
| Predicate | isAmateurOrProfessional |
P149059
|
FINISHED |
| Object | semi-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: semi-professional | Statement: [Chinnor Rugby Football Club, isAmateurOrProfessional, semi-professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmateurOrProfessional Context triple: [Chinnor Rugby Football Club, isAmateurOrProfessional, semi-professional]
-
A.
isAmateur
Indicates that an entity engages in an activity or field on a non-professional, typically unpaid or hobbyist basis.
-
B.
wasAmateurOrSemiPro
Indicates that the subject participated in an activity at an amateur or semi-professional level, rather than as a full professional.
-
C.
hasAmateurLevel
Indicates that an entity possesses an amateur level of skill, experience, or proficiency in a given activity or domain.
-
D.
isProfessionalCompetition
Indicates that the relationship involves a competition conducted at a professional level, typically among participants who engage in the activity as their occupation or primary paid pursuit.
-
E.
competitionLevelRelativeToAmateur
Indicates the degree to which something’s level of competition differs from that of an amateur level.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703a84b081909a683f8c850dcbf9 |
completed | April 29, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:05 p.m.