Triple
T23627360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana Hoosiers men's soccer team |
E583502
|
entity |
| Predicate | hasAlumniInMLS |
P50416
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Indiana Hoosiers men's soccer team, hasAlumniInMLS, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlumniInMLS Context triple: [Indiana Hoosiers men's soccer team, hasAlumniInMLS, yes]
-
A.
hasAlumnusLeague
chosen
Indicates that an educational institution has at least one alumnus who is or was a member of a specified sports league.
-
B.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
C.
hasPlayerAlumnus
Indicates that an entity has, as an associated player, someone who is an alumnus of that entity.
-
D.
joinedMLS
Indicates that an entity became a member of, or was admitted into, Major League Soccer (MLS).
-
E.
hasAlumniWhoWon
Indicates that an institution has alumni who have won a particular award, honor, or competition.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1e4df248190ac38e4e025bd1140 |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.