Triple
T32338867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia Big 5 schools |
E826251
|
entity |
| Predicate | includesPrivateInstitution |
P2344
|
FINISHED |
| Object | La Salle University |
E194129
|
NE 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: La Salle University | Statement: [Philadelphia Big 5 schools, includesPrivateInstitution, La Salle University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPrivateInstitution Context triple: [Philadelphia Big 5 schools, includesPrivateInstitution, La Salle University]
-
A.
includesPrivateUniversities
chosen
Indicates that the referenced set, group, or category contains one or more private universities as members.
-
B.
includesPrivateCompanies
Indicates that the relationship or set explicitly encompasses or applies to private companies as part of its scope.
-
C.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
D.
isPublicInstitution
Indicates that an entity operates as a publicly governed or state-funded institution, typically serving the general public under public law or oversight.
-
E.
isInstitutional
Indicates that an entity functions as or is classified as an institution within the given context.
- F. None of above.
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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01c21d8bc481909dd9f5a6b89c0a92 |
completed | May 11, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34b1457b808190baf15c383d53b443 |
completed | June 19, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_6a01bff5d1508190895e5bd2c04932b0 |
completed | May 11, 2026, 11:39 a.m. |
Created at: May 1, 2026, 12:48 a.m.