Triple
T5171284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall High School (service area) |
E116683
|
entity |
| Predicate | usesAssignmentPolicy |
P11330
|
FINISHED |
| Object | residential address-based school assignment |
—
|
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: residential address-based school assignment | Statement: [Marshall High School (service area), usesAssignmentPolicy, residential address-based school assignment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAssignmentPolicy Context triple: [Marshall High School (service area), usesAssignmentPolicy, residential address-based school assignment]
-
A.
usesPolicyModel
chosen
Indicates that one entity applies, relies on, or operates according to a particular policy model.
-
B.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
C.
usesPolicyRate
Indicates that one entity applies or bases its actions or decisions on a specified policy interest rate.
-
D.
requiresAssignment
Indicates that one entity depends on another entity being assigned or allocated before it can proceed, function, or be considered valid.
-
E.
appliesToPolicy
Indicates that something is relevant or applicable to a particular policy.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79508610819087abec175da8c847 |
completed | March 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:45 p.m.