Triple
T33703636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Public League |
E863525
|
entity |
| Predicate | hasMemberSchools |
P118054
|
FINISHED |
| Object | multiple Chicago public 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: multiple Chicago public high schools | Statement: [Chicago Public League, hasMemberSchools, multiple Chicago public high schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberSchools Context triple: [Chicago Public League, hasMemberSchools, multiple Chicago public high schools]
-
A.
memberSchoolsAre
chosen
Indicates that certain schools belong to or are included as members within a larger group, organization, or system.
-
B.
hasAffiliatedSchoolsIn
Indicates that an entity maintains formal affiliations or partnerships with schools located in a specified place or region.
-
C.
hasAssociatedSchoolNetwork
Indicates that an entity is linked to or belongs to a particular school network or group of affiliated schools.
-
D.
hasSchoolOrganization
Indicates that an educational institution is associated with or contains a specific school-related organization or group.
-
E.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 1, 2026, 1:43 a.m.