Triple
T5578443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Casa Blanca |
E146578
|
entity |
| Predicate | clubLevel |
P5182
|
FINISHED |
| Object | professional football |
—
|
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: professional football | Statement: [La Casa Blanca, clubLevel, professional football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubLevel Context triple: [La Casa Blanca, clubLevel, professional football]
-
A.
teamLevel
chosen
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
B.
associatedLeagueLevel
Indicates that one entity is linked to another entity representing the competitive tier or level of a sports league.
-
C.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
D.
competitionHierarchyLevel
Indicates the relative rank or tier of a competition within an overall competitive structure or hierarchy.
-
E.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206ae4808190971d89243db94475 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.