Triple
T13997222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Andrew's School, Middletown, Delaware |
E336729
|
entity |
| Predicate | hasHonorCodeOrDisciplineSystem |
P70859
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [St. Andrew's School, Middletown, Delaware, hasHonorCodeOrDisciplineSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHonorCodeOrDisciplineSystem Context triple: [St. Andrew's School, Middletown, Delaware, hasHonorCodeOrDisciplineSystem, yes]
-
A.
hasDisciplineSystem
chosen
Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
-
B.
hasHonorPrinciple
Indicates that an entity adheres to or is guided by a specific principle related to honor or honorable conduct.
-
C.
hasGradeSystem
Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by another entity.
-
D.
hasAwardedDiscipline
Indicates that one entity has formally imposed or granted a disciplinary action or sanction upon another entity.
-
E.
hasMoralCode
Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.