Triple
T3548647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon community colleges |
E75056
|
entity |
| Predicate | includeInstitutionType |
P3814
|
FINISHED |
| Object | urban community colleges |
—
|
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: urban community colleges | Statement: [Oregon community colleges, includeInstitutionType, urban community colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includeInstitutionType Context triple: [Oregon community colleges, includeInstitutionType, urban community colleges]
-
A.
includesInstitution
chosen
Indicates that one entity contains, encompasses, or has as a member a particular institution.
-
B.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
C.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
D.
usedByInstitutionType
Indicates that something (such as a resource, tool, or service) is utilized or employed by a particular type or category of institution.
-
E.
impliesForInstitution
Indicates that one condition, rule, or statement logically leads to or necessitates another specifically within the context of an institution.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd278348190ad2fa54f4a423541 |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.