Triple
T19640834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa Roble Fundamental High School |
E471527
|
entity |
| Predicate | hasCampusCulture |
P95968
|
FINISHED |
| Object | community-focused campus |
—
|
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: community-focused campus | Statement: [Casa Roble Fundamental High School, hasCampusCulture, community-focused campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusCulture Context triple: [Casa Roble Fundamental High School, hasCampusCulture, community-focused campus]
-
A.
hasCampusCommunity
Indicates that an institution or location possesses an associated campus-based community or group of people connected to it.
-
B.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
-
C.
hasSchoolCulture
chosen
Indicates that an entity possesses or is characterized by a particular set of shared norms, values, practices, and behaviors that define its school culture.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412224d481909524d7654a36d49b |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.