Triple
T38203151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITT Educational Services, Inc. |
E1009122
|
entity |
| Predicate | studentFundingSource |
P27300
|
FINISHED |
| Object | Title IV federal student aid |
—
|
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: Title IV federal student aid | Statement: [ITT Educational Services, Inc., studentFundingSource, Title IV federal student aid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentFundingSource Context triple: [ITT Educational Services, Inc., studentFundingSource, Title IV federal student aid]
-
A.
hasFinancialAid
chosen
Indicates that one entity provides or is associated with financial assistance or support to another entity.
-
B.
memberInstitutionFunding
Indicates that a member institution provides financial support or funding to another entity.
-
C.
hasEducationalSupportFrom
Indicates that one entity receives educational assistance, guidance, or resources from another entity.
-
D.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
E.
hasOrganScholarships
Indicates that an entity offers or provides scholarships specifically related to organ study or performance.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.