Triple
T22974976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain View Whisman School District |
E571289
|
entity |
| Predicate | operatesSchools |
P150459
|
FINISHED |
| Object | elementary 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: elementary schools | Statement: [Mountain View Whisman School District, operatesSchools, elementary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesSchools Context triple: [Mountain View Whisman School District, operatesSchools, elementary schools]
-
A.
operatesSchoolsFor
Indicates that one entity manages and runs schools on behalf of or for the benefit of another entity.
-
B.
operatesInSchoolSystem
Indicates that an entity carries out its functions or activities within a particular school system or educational district.
-
C.
operatesOnSchoolLevel
Indicates that an entity performs actions or has responsibilities at the level of a school as an organizational unit.
-
D.
operatesInEducationalSector
Indicates that an entity conducts its primary activities or provides services within the field of education or the educational industry.
-
E.
operatesSchoolBuses
Indicates that an entity is responsible for running or managing the operation of school bus services for transporting students.
- F. None of above. chosen
Provenance (4 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18235de508190ab9675d005870ff6 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:48 p.m.