Triple
T31954285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetwater Union High School District |
E815861
|
entity |
| Predicate | hasNotableMiddleSchool |
P202924
|
FINISHED |
| Object | Chula Vista Middle School |
—
|
NE NERFINISHED |
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: Chula Vista Middle School | Statement: [Sweetwater Union High School District, hasNotableMiddleSchool, Chula Vista Middle School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMiddleSchool Context triple: [Sweetwater Union High School District, hasNotableMiddleSchool, Chula Vista Middle School]
-
A.
hasPublicMiddleSchool
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
-
B.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
-
C.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
D.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
E.
hasLowerSchoolEntry
Indicates that an entity is associated with or linked to a specific lower-level school at which it begins or began schooling.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d15f7b788190a3bf440be7837192 |
completed | May 10, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_6a00d0f8ef548190b1c15b06164eec4a |
completed | May 10, 2026, 6:39 p.m. |
| PDg | Predicate description generation | batch_6a00d15e82708190b1246937c695da7e |
completed | May 10, 2026, 6:41 p.m. |
Created at: May 1, 2026, 12:08 a.m.