Triple
T6513900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berwyn South School District 100 |
E148204
|
entity |
| Predicate | operatesSchoolLevel |
P33435
|
FINISHED |
| Object | elementary 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: elementary schools | Statement: [Berwyn South School District 100, operatesSchoolLevel, elementary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesSchoolLevel Context triple: [Berwyn South School District 100, operatesSchoolLevel, elementary schools]
-
A.
operatesInSchoolYearSystem
Indicates that an entity functions according to, or is organized around, a specific school year calendar or system.
-
B.
operatesInstitution
chosen
Indicates that an entity manages and runs the activities or services of an institution.
-
C.
servesGradeLevels
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
D.
operatedAsSchoolUntil
Indicates that an entity functioned in the role or capacity of a school up to a specified end time or date.
-
E.
regulatesGradeLevels
Indicates a relationship where one entity sets or enforces rules or standards governing the grade levels of another entity.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3db330819092503af4fb0649ea |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.