Triple
T3826694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnuson Act of 1943 |
E88706
|
entity |
| Predicate | impactOnCommunity |
P4312
|
FINISHED |
| Object | Chinese American community |
—
|
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: Chinese American community | Statement: [Magnuson Act of 1943, impactOnCommunity, Chinese American community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnCommunity Context triple: [Magnuson Act of 1943, impactOnCommunity, Chinese American community]
-
A.
socialImpact
chosen
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
B.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
C.
includesCommunity
Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
-
D.
focusesOnCommunity
Indicates that the subject prioritizes and directs attention or effort toward the well-being, needs, or development of a community.
-
E.
communalAspect
Indicates that something involves or emphasizes shared participation, ownership, or experience within a group or community.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.