Triple
T3248904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroBasket Women championship |
E68128
|
entity |
| Predicate | hasQualifierStage |
P3733
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [EuroBasket Women championship, hasQualifierStage, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQualifierStage Context triple: [EuroBasket Women championship, hasQualifierStage, yes]
-
A.
hasQualifier
Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
-
B.
hasStageType
chosen
Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
-
C.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
D.
hasStageRole
Indicates that an entity performs or holds a specific role or character in a staged performance or theatrical production.
-
E.
hasQualificationStructure
Indicates that an entity is associated with a specific configuration or pattern of qualifications (e.g., degrees, certifications, or credentials) that define how those qualifications are organized or structured.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf3fc3c8819080ac95974581ca0e |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.