Triple
T32884413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Wilf |
E841155
|
entity |
| Predicate | teamOwnedBasedIn |
P175854
|
FINISHED |
| Object | Minneapolis, Minnesota |
—
|
NE NERFINISHED |
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: Minneapolis, Minnesota | Statement: [Leonard Wilf, teamOwnedBasedIn, Minneapolis, Minnesota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamOwnedBasedIn Context triple: [Leonard Wilf, teamOwnedBasedIn, Minneapolis, Minnesota]
-
A.
teamBasedOn
Indicates that one entity (typically a team) is formed, organized, or defined on the basis of another entity (such as a criterion, source, or underlying structure).
-
B.
teamOwnerFor
Indicates that one entity is the owner or controlling proprietor of a particular team.
-
C.
teamOwner
Indicates that one entity holds ownership or controlling stake over a team.
-
D.
sportsTeamOwned
Indicates that one entity is the owner (or part-owner) of a sports team entity.
-
E.
teamHosted
Indicates that one team acted as the host for an event, match, or activity involving another team or participant.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:18 a.m.