Triple
T34681951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salesian Family |
E890643
|
entity |
| Predicate | operatesInstitutions |
P33435
|
FINISHED |
| Object | schools |
—
|
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: schools | Statement: [Salesian Family, operatesInstitutions, schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInstitutions Context triple: [Salesian Family, operatesInstitutions, schools]
-
A.
operatesInstitution
chosen
Indicates that an entity manages and runs the activities or services of an institution.
-
B.
operatedByInstitutionType
Indicates that an entity is run, managed, or controlled by an institution of a specified type (e.g., government, private, nonprofit).
-
C.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
D.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00ccadb6908190ab810a7c05315fa8 |
completed | May 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_6a00cc0f86b88190a0d2c43618558f86 |
completed | May 10, 2026, 6:18 p.m. |
Created at: May 1, 2026, 2:05 a.m.