Triple
T19244564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Placement |
E481213
|
entity |
| Predicate | placementPolicyDeterminedBy |
P135037
|
FINISHED |
| Object | individual colleges and universities |
—
|
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: individual colleges and universities | Statement: [Advanced Placement, placementPolicyDeterminedBy, individual colleges and universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placementPolicyDeterminedBy Context triple: [Advanced Placement, placementPolicyDeterminedBy, individual colleges and universities]
-
A.
placementType
Indicates the specific manner or category in which something is positioned, arranged, or assigned within a given context.
-
B.
conversionPolicyImposedBy
Indicates that a specific conversion policy is mandated or enforced by a particular authority or entity.
-
C.
locationPolicy
Indicates a rule or constraint governing where an entity is allowed, required, or restricted to be located.
-
D.
boardingPolicy
Indicates the rules or procedures governing how and in what order passengers are allowed to board a vehicle or vessel.
-
E.
planningPolicy
Indicates that one entity establishes or defines rules, guidelines, or strategies governing how another entity should plan or make planning-related decisions.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf47820819081e8b6af852bb1dd |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:27 p.m.