Triple
T7601291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince William County Public Schools |
E179988
|
entity |
| Predicate | numberOfSchools |
P55803
|
FINISHED |
| Object | over 90 |
—
|
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: over 90 | Statement: [Prince William County Public Schools, numberOfSchools, over 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSchools Context triple: [Prince William County Public Schools, numberOfSchools, over 90]
-
A.
hasNumberOfSchools
chosen
Indicates the quantity of schools associated with a given entity.
-
B.
numberOfUniversities
Indicates the quantity of universities associated with a given entity.
-
C.
numberOfCampuses
Indicates the total count of campuses associated with a given entity.
-
D.
isLargeSchool
Indicates that a school has a large size, typically in terms of student population, campus area, or overall capacity.
-
E.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d9c55c8190841f3bf3225c096a |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.