Triple
T13574589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan women's national under-17 basketball team |
E324248
|
entity |
| Predicate | internationalCompetitionLevel |
P110117
|
FINISHED |
| Object | youth |
—
|
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: youth | Statement: [Japan women's national under-17 basketball team, internationalCompetitionLevel, youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalCompetitionLevel Context triple: [Japan women's national under-17 basketball team, internationalCompetitionLevel, youth]
-
A.
primaryCompetitionLevel
Indicates the main or highest level of competition at which an entity primarily competes or operates.
-
B.
isLinkedToInternationalCompetitions
Indicates that there is an association or connection between the entity and one or more international competitions.
-
C.
involvesCompetitionLevel
Indicates that the relationship or action specifies or depends on a particular degree or intensity of competition involved.
-
D.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
E.
levelOfCompetition
Indicates the intensity or degree of competitive pressure present in a given context or interaction.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf7fefa881908471f1400f813ccc |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:48 p.m.