Triple
T22481131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evanston Township High School District 202 |
E555766
|
entity |
| Predicate | schoolCountHighSchool |
P55803
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Evanston Township High School District 202, schoolCountHighSchool, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolCountHighSchool Context triple: [Evanston Township High School District 202, schoolCountHighSchool, 1]
-
A.
hasNumberOfSchools
chosen
Indicates the quantity of schools associated with a given entity.
-
B.
isLargeSchool
Indicates that a school has a large size, typically in terms of student population, campus area, or overall capacity.
-
C.
highSchoolSetting
Indicates that an event, interaction, or situation takes place within the context or environment of a high school.
-
D.
nationalSchool
Indicates that a school is designated, administered, or officially recognized at the national (country-wide) level rather than local or regional.
-
E.
servesHighSchool
Indicates that an entity provides services, support, or resources specifically to a high school.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c397b248190b36c2fbfa6489693 |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.