Triple
T30444298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Hong Phong High School for the Gifted |
E774532
|
entity |
| Predicate | hasSchoolTypeFeature |
P19184
|
FINISHED |
| Object | specialized classes by subject |
—
|
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: specialized classes by subject | Statement: [Le Hong Phong High School for the Gifted, hasSchoolTypeFeature, specialized classes by subject]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolTypeFeature Context triple: [Le Hong Phong High School for the Gifted, hasSchoolTypeFeature, specialized classes by subject]
-
A.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
-
B.
hasSchoolCategory
chosen
Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
-
C.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
D.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
-
E.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:08 p.m.