Triple
T2604583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PFA Merit Award |
E58628
|
entity |
| Predicate | presenterType |
P26905
|
FINISHED |
| Object | players’ trade union |
—
|
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: players’ trade union | Statement: [PFA Merit Award, presenterType, players’ trade union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presenterType Context triple: [PFA Merit Award, presenterType, players’ trade union]
-
A.
organizationTypeOfPresenter
Indicates that the predicate specifies the type or category of organization to which the presenter belongs or that the presenter represents.
-
B.
hasPresenterType
chosen
Indicates the specific role or category of presenter associated with an event, item, or presentation.
-
C.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
D.
speakerType
Indicates the role or category of a participant in a communicative act (e.g., narrator, quoted speaker, system voice) within a given context.
-
E.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.