Triple
T535061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Employment Act of 1946 |
E12307
|
entity |
| Predicate | declaresNationalPolicyOn |
P9613
|
FINISHED |
| Object | employment |
—
|
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: employment | Statement: [Employment Act of 1946, declaresNationalPolicyOn, employment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declaresNationalPolicyOn Context triple: [Employment Act of 1946, declaresNationalPolicyOn, employment]
-
A.
governmentAction
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
B.
nationalGoals
chosen
Indicates a relationship where certain objectives or targets are officially set or recognized as the goals of a nation.
-
C.
nationalCommittee
Indicates that an entity serves as or is associated with a national-level committee or governing body for another entity.
-
D.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
E.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b3e49081909810fa417b31306f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.