Triple
T34510625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem City School District |
E886007
|
entity |
| Predicate | superintendentRole |
P110463
|
FINISHED |
| Object | oversees day-to-day operations of the district |
—
|
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: oversees day-to-day operations of the district | Statement: [Salem City School District, superintendentRole, oversees day-to-day operations of the district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superintendentRole Context triple: [Salem City School District, superintendentRole, oversees day-to-day operations of the district]
-
A.
headOfSchool
Indicates that one entity serves as the principal leader or top administrator in charge of a school.
-
B.
supervisorTitle
Indicates the formal job title or position held by a person who acts as a supervisor in the relationship.
-
C.
headquartersRole
Indicates that an entity serves in an official capacity or role at the headquarters of an organization.
-
D.
districtRole
chosen
Indicates that an entity holds a specific role, function, or position within a particular district.
-
E.
successorSchoolHead
Indicates that one person becomes the next head (e.g., principal, headmaster) of a school after another person.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 1, 2026, 2:01 a.m.