Triple

T27534939
Position Surface form Disambiguated ID Type / Status
Subject Adjusted Compensation Act of 1924 E695070 entity
Predicate implementedBy P172 FINISHED
Object United States Veterans Bureau
The United States Veterans Bureau was a federal agency in the early 20th century responsible for administering benefits, medical care, and compensation programs for American military veterans.
E1776838 NE 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: United States Veterans Bureau | Statement: [Adjusted Compensation Act of 1924, implementedBy, United States Veterans Bureau]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: United States Veterans Bureau
Triple: [Adjusted Compensation Act of 1924, implementedBy, United States Veterans Bureau]
Generated description
The United States Veterans Bureau was a federal agency in the early 20th century responsible for administering benefits, medical care, and compensation programs for American military veterans.

Provenance (5 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_69ef538608b081908b9f659bb09d5e0f completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62f5996508190894a769a5199945d completed May 2, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5ba9e648190a2745586d4c41c91 completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6596d788190bc4d6ed7f0b6c378 completed May 24, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6e8932c8190877f8f62c54526f7 completed May 24, 2026, 9:37 a.m.
Created at: April 27, 2026, 1:28 p.m.