Triple
T21446671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shermer High School |
E529094
|
entity |
| Predicate | usedAsStandInFor |
P6280
|
FINISHED |
| Object | Chicago-area suburban high 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: Chicago-area suburban high schools | Statement: [Shermer High School, usedAsStandInFor, Chicago-area suburban high schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsStandInFor Context triple: [Shermer High School, usedAsStandInFor, Chicago-area suburban high schools]
-
A.
usedInsteadOf
chosen
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
-
B.
alternativeUsedBy
Indicates that one entity serves as an alternative option or substitute that is used in place of another entity.
-
C.
developedAsReplacementFor
Indicates that one entity was created or designed specifically to take the place of another entity, serving as its successor or substitute.
-
D.
isAlsoUsedAs
Indicates that something serves an additional function or role beyond its primary one.
-
E.
usedAsStandard
Indicates that one entity serves as the reference or benchmark against which another entity is measured, compared, or evaluated.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9cea7bc81909ee3e1cdeda1fe7e |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:06 p.m.