Triple
T3018778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NISA |
E82402
|
entity |
| Predicate | competitionLevelRelativeToMLS |
P43092
|
FINISHED |
| Object | below Major League Soccer |
—
|
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: below Major League Soccer | Statement: [NISA, competitionLevelRelativeToMLS, below Major League Soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionLevelRelativeToMLS Context triple: [NISA, competitionLevelRelativeToMLS, below Major League Soccer]
-
A.
levelOfCompetition
Indicates the intensity or degree of competitive pressure present in a given context or interaction.
-
B.
competitionHierarchyLevel
chosen
Indicates the relative rank or tier of a competition within an overall competitive structure or hierarchy.
-
C.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
D.
isTopLevelLeagueIn
Indicates that a sports league is the highest (top-tier) competitive level within a specified country or region.
-
E.
fifaCompetitionLevel
Indicates the level or tier of a FIFA-sanctioned competition in which an entity participates or to which it belongs.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a927b608190ba1392498507b237 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.