Triple
T6912654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharks Sports & Entertainment |
E159973
|
entity |
| Predicate | operatesInCompetitionLevel |
P18266
|
FINISHED |
| Object | major professional 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: major professional sports | Statement: [Sharks Sports & Entertainment, operatesInCompetitionLevel, major professional sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInCompetitionLevel Context triple: [Sharks Sports & Entertainment, operatesInCompetitionLevel, major professional sports]
-
A.
levelOfCompetition
Indicates the intensity or degree of competitive pressure present in a given context or interaction.
-
B.
appliesToCompetition
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable specifically to a competition.
-
C.
primaryCompetitionLevel
chosen
Indicates the main or highest level of competition at which an entity primarily competes or operates.
-
D.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
E.
usesCompetitionSystem
Indicates that an entity operates under or applies a particular competition system or format.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c2e79881909eeb061be0a72bdf |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.