Triple

T36949786
Position Surface form Disambiguated ID Type / Status
Subject Marcellus M. Crocker E914024 entity
Predicate stateMilitaryAssociation P140990 FINISHED
Object Iowa volunteers 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: Iowa volunteers | Statement: [Marcellus M. Crocker, stateMilitaryAssociation, Iowa volunteers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateMilitaryAssociation
Context triple: [Marcellus M. Crocker, stateMilitaryAssociation, Iowa volunteers]
  • A. stateMilitaryUnitOf chosen
    Indicates that a military unit is organized, controlled, or officially associated with a particular state or governmental jurisdiction.
  • B. hasMilitaryAssociation
    Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
  • C. militaryOrganization
    Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
  • D. regimentalAssociation
    Indicates a formal relationship in which an entity is affiliated with, belongs to, or is organized as part of a specific military regiment.
  • E. militaryBranchAssociatedWith
    Indicates a relationship where an entity is connected to, or operates as part of, a specific branch of a military organization.
  • 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_69f76e8b28848190abd81fe7a7374910 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fee691952c8190822da83e46311d1d completed May 9, 2026, 7:47 a.m.
PD Predicate disambiguation batch_69fee62f285c8190a625562a9b80526e completed May 9, 2026, 7:45 a.m.
Created at: May 3, 2026, 4:13 p.m.