Triple
T23641016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leathernecks |
E583890
|
entity |
| Predicate | associatedInstitutionName |
P1933
|
FINISHED |
| Object | Western Illinois University Fighting Leathernecks |
—
|
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: Western Illinois University Fighting Leathernecks | Statement: [Leathernecks, associatedInstitutionName, Western Illinois University Fighting Leathernecks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedInstitutionName Context triple: [Leathernecks, associatedInstitutionName, Western Illinois University Fighting Leathernecks]
-
A.
associatedInstitution
chosen
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
B.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
C.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
D.
relatedInstitution
Indicates that there is an institutional connection or association between two entities, such as affiliation, partnership, or organizational linkage.
-
E.
associatedWithCurrentInstitutionName
Indicates that an entity has an affiliation or connection with the institution identified by the current institution name.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b28152108190972ac680cba986d7 |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:48 p.m.