Triple
T24856698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Mountain School |
E622048
|
entity |
| Predicate | daySchoolOffered |
P45220
|
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: [Indian Mountain School, daySchoolOffered, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: daySchoolOffered Context triple: [Indian Mountain School, daySchoolOffered, yes]
-
A.
schoolTypeOffered
Indicates the specific type or category of school that is provided or made available by an educational institution or organization.
-
B.
daySchool
Indicates that an entity attends or is enrolled in a school that operates primarily during the daytime.
-
C.
offersDaySchooling
chosen
Indicates that an entity provides daytime educational services without overnight accommodation.
-
D.
dayProgramOffered
Indicates that a particular day is one on which a specific program is available or scheduled to take place.
-
E.
schoolDayType
Indicates the classification of a given day according to its role in the school calendar (e.g., regular school day, holiday, exam day, etc.).
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:21 a.m.