Triple
T25724987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton Plan |
E645093
|
entity |
| Predicate | degreeOfAdoption |
P81258
|
FINISHED |
| Object | not adopted as submitted |
—
|
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: not adopted as submitted | Statement: [Hamilton Plan, degreeOfAdoption, not adopted as submitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfAdoption Context triple: [Hamilton Plan, degreeOfAdoption, not adopted as submitted]
-
A.
adoptionLevel
chosen
Indicates the degree or extent to which something (such as a product, practice, or technology) has been taken up, accepted, or implemented by its intended users or audience.
-
B.
adoptedBy
Indicates that an entity has been taken in and legally or formally accepted as a child, member, or responsibility by another entity.
-
C.
collectivelyAdopt
Indicates that multiple entities together choose, accept, or put into practice something as a group.
-
D.
marketAdoption
Indicates the extent to which a product, service, or innovation has been accepted and used by its target market or customer base.
-
E.
adoptedGraduallyBy
Indicates that one entity is taken up, accepted, or implemented by another entity in a slow, incremental, or phased manner over time.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fcb6562481909de5461493ab10b1 |
completed | May 2, 2026, 1:31 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 10:17 p.m.