Triple
T28328772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercersburg Academy |
E717481
|
entity |
| Predicate | offersDayStudents |
P45220
|
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: [Mercersburg Academy, offersDayStudents, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersDayStudents Context triple: [Mercersburg Academy, offersDayStudents, true]
-
A.
offersDaySchooling
chosen
Indicates that an entity provides daytime educational services without overnight accommodation.
-
B.
offersDayProgram
Indicates that an entity provides a structured program or service that takes place during daytime hours.
-
C.
offersHonorsPrograms
Indicates that an institution provides specialized honors-level academic programs or tracks to eligible participants.
-
D.
offersGrades
Indicates that one entity provides or assigns academic grades to another entity.
-
E.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 28, 2026, 12:30 a.m.