Triple
T11116723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluejacket |
E262903
|
entity |
| Predicate | levelOfSport |
P24551
|
FINISHED |
| Object | high school sports |
—
|
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: high school sports | Statement: [Bluejacket, levelOfSport, high school sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfSport Context triple: [Bluejacket, levelOfSport, high school sports]
-
A.
governsSportLevel
Indicates that one entity has authority to set, control, or regulate the competitive level or tier at which a sport or sporting activity is conducted.
-
B.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
C.
levelOfCompetition
Indicates the intensity or degree of competitive pressure present in a given context or interaction.
-
D.
representsSportLevel
chosen
Indicates that an entity participates in or is associated with a particular level or tier within a sport.
-
E.
primarySport
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa81d8c81908a387b56cbcc9128 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.