Triple
T626495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amherst College |
E15829
|
entity |
| Predicate | hasOpenCurriculum |
P17231
|
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: [Amherst College, hasOpenCurriculum, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenCurriculum Context triple: [Amherst College, hasOpenCurriculum, true]
-
A.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
B.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
C.
hasOnlinePrograms
Indicates that an entity offers or provides programs, courses, or services that are available online.
-
D.
offersEducationMode
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
E.
offersCourseType
Indicates that an entity provides or makes available a course of a specified type.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e587c448190987943a6aad209d1 |
completed | March 1, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69a49d01b29081908be87e4cd7726ff1 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.