Triple
T22012575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Hall School |
E543613
|
entity |
| Predicate | hasSTEMProgram |
P146272
|
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: [Dana Hall School, hasSTEMProgram, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSTEMProgram Context triple: [Dana Hall School, hasSTEMProgram, yes]
-
A.
hasPhysicsProgram
Indicates that an institution or organization offers or maintains an academic program in physics.
-
B.
hasExtracurricularProgram
Indicates that an institution or organization offers one or more organized extracurricular programs or activities beyond its primary curriculum or mission.
-
C.
hasCadetProgram
Indicates that an organization or entity offers or operates a cadet program for training or development.
-
D.
hasMajorProgram
Indicates that an educational institution offers a specific field of study as a primary academic program.
-
E.
hasIndustryProgram
Indicates that an entity offers, participates in, or is associated with a structured program involving collaboration or engagement with industry organizations or sectors.
- F. None of above. chosen
Provenance (4 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a5e624819082ed5beeb4bc82fa |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:22 p.m.