Triple
T36885952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cry_Wolf |
E911608
|
entity |
| Predicate | hasBoardingSchoolSetting |
P63702
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cry_Wolf, hasBoardingSchoolSetting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardingSchoolSetting Context triple: [Cry_Wolf, hasBoardingSchoolSetting, true]
-
A.
hasBoardingSchool
chosen
Indicates that an entity operates, contains, or is associated with a boarding school where students both study and reside.
-
B.
hasSchoolBoardType
Indicates the specific governance or organizational structure type of a school board associated with an educational institution or district.
-
C.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
-
D.
hasBoardingStudents
Indicates that an educational institution accommodates students who reside on campus as boarders.
-
E.
setInSchool
Indicates that an event, scene, or situation takes place within the context or location of a 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: May 3, 2026, 4:13 p.m.