Triple
T22481130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evanston Township High School District 202 |
E555766
|
entity |
| Predicate | hasSingleHighSchool |
P148369
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Evanston Township High School District 202, hasSingleHighSchool, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSingleHighSchool Context triple: [Evanston Township High School District 202, hasSingleHighSchool, true]
-
A.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
-
B.
attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
-
C.
isOnlyHighSchoolOn
Indicates that a high school is the sole high school located on a particular street, campus, or geographic area.
-
D.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
E.
hasUpperSchool
Indicates that an educational institution includes or is associated with an upper-level school (typically serving older or advanced students).
- F. None of above. chosen
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_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. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:49 p.m.