Triple
T36592046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Striped Ones |
E902695
|
entity |
| Predicate | refersToProfessionalStatus |
P138259
|
FINISHED |
| Object | professional football club |
—
|
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 football club | Statement: [The Striped Ones, refersToProfessionalStatus, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToProfessionalStatus Context triple: [The Striped Ones, refersToProfessionalStatus, professional football club]
-
A.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
B.
refersToProfession
chosen
Indicates that one entity is being referenced specifically in terms of its profession or occupational role in relation to another entity.
-
C.
hasProfessionalStatusRequirement
Indicates that something is subject to a condition specifying a particular professional status that must be held or met.
-
D.
transitionedToProfessionalStatusAs
Indicates that an entity changed from a non-professional state or role into a professional status specifically in relation to another entity.
-
E.
hasProfessionalRelationshipWith
Indicates a formal, work-related connection or collaboration exists between the two entities in a professional context.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: May 3, 2026, 4:11 p.m.