Triple
T1682832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manassas City Public Schools |
E36374
|
entity |
| Predicate | superintendentTitle |
P18747
|
FINISHED |
| Object | Superintendent of 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: Superintendent of Schools | Statement: [Manassas City Public Schools, superintendentTitle, Superintendent of Schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superintendentTitle Context triple: [Manassas City Public Schools, superintendentTitle, Superintendent of Schools]
-
A.
deputyExecutiveHeadTitle
Indicates the official job title held by a person serving as the deputy to an organization's executive head.
-
B.
politicalChiefTitle
Indicates the official title held by the leading political authority of a given entity or jurisdiction.
-
C.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
-
D.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
E.
governingHeadTitle
chosen
Indicates the official title held by the person who serves as the governing head of an entity (such as a country, organization, or institution).
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.