Triple

T6979974
Position Surface form Disambiguated ID Type / Status
Subject U.S. XII Corps E161815 entity
Predicate militaryFormationSize P18686 FINISHED
Object Corps-level formation 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: Corps-level formation | Statement: [U.S. XII Corps, militaryFormationSize, Corps-level formation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryFormationSize
Context triple: [U.S. XII Corps, militaryFormationSize, Corps-level formation]
  • A. militaryFormationOf
    Indicates that one entity is a military unit or formation that is organizationally part of, or derived from, another entity.
  • B. militaryFormationLevel chosen
    Indicates the hierarchical level or scale of a military formation within an armed forces organizational structure.
  • C. militarySize
    Indicates the total number of personnel in a military force, typically including active-duty members and sometimes reserves.
  • D. squadronSize
    Indicates the number of units or members that make up a particular squadron.
  • E. tacticalFormation
    Indicates a specific strategic arrangement or positioning of entities relative to one another to achieve a tactical objective.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
PD Predicate disambiguation batch_69c6d7c262508190a7708b3d9cf23d7c completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:31 p.m.