Triple

T11607597
Position Surface form Disambiguated ID Type / Status
Subject Public Law 93-112 E275301 entity
Predicate hasLongTitle P1116 FINISHED
Object An Act to replace the vocational rehabilitation program with a new program, to expand and improve services under such program, and for other purposes — LITERAL FINISHED

How this triple was built (1 step)

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: An Act to replace the vocational rehabilitation program with a new program, to expand and improve services under such program, and for other purposes | Statement: [Public Law 93-112, hasLongTitle, An Act to replace the vocational rehabilitation program with a new program, to expand and improve services under such program, and for other purposes]

Provenance (2 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89551649c81908096ff392677442d completed April 10, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:38 p.m.