Triple

T37221654
Position Surface form Disambiguated ID Type / Status
Subject Ninth Federal Reserve District E922898 entity
Predicate hasKeySectors P4053 FINISHED
Object agriculture 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: agriculture | Statement: [Ninth Federal Reserve District, hasKeySectors, agriculture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeySectors
Context triple: [Ninth Federal Reserve District, hasKeySectors, agriculture]
  • A. keySector chosen
    Indicates that an entity operates in, belongs to, or is primarily associated with a particularly important or strategic sector within a broader domain or economy.
  • B. hasKeyPassage
    Indicates that one entity contains or includes a particularly important or central passage relevant to another entity.
  • C. hasKeyAccord
    Indicates that one entity possesses or defines the primary key or governing agreement that authorizes or controls another entity.
  • D. hasKeyAct
    Indicates that one entity possesses or is associated with a primary or central action related to another entity.
  • E. hasKeyCustodians
    Indicates that certain entities are responsible for holding, managing, or safeguarding specific keys for another entity or resource.
  • 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_69f76ea6f5288190b8d9988f613811c0 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: May 3, 2026, 4:15 p.m.