Triple

T7941371
Position Surface form Disambiguated ID Type / Status
Subject Form 940 E184398 entity
Predicate Schedule AUsedFor P98 FINISHED
Object multi-state FUTA wage allocation 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: multi-state FUTA wage allocation | Statement: [Form 940, Schedule AUsedFor, multi-state FUTA wage allocation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Schedule AUsedFor
Context triple: [Form 940, Schedule AUsedFor, multi-state FUTA wage allocation]
  • A. designationUsedFor
    Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
  • B. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • C. usageType
    Indicates the specific manner, purpose, or context in which something is used or intended to be used.
  • D. plannedUseOf
    Indicates that one entity is intended or designated to be used for a specific purpose, function, or activity involving another entity.
  • E. usedForService
    Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b0c16b8819093c5d1719cd65ee3 completed March 31, 2026, 3:10 a.m.
PD Predicate disambiguation batch_69cae93526d081909303265bf60419fd completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:09 p.m.