Triple

T894451
Position Surface form Disambiguated ID Type / Status
Subject Home Army E19311 entity
Predicate estimatedSize P6061 FINISHED
Object hundreds of thousands of members at its peak 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: hundreds of thousands of members at its peak | Statement: [Home Army, estimatedSize, hundreds of thousands of members at its peak]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedSize
Context triple: [Home Army, estimatedSize, hundreds of thousands of members at its peak]
  • A. approximateSize chosen
    Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
  • B. stateSize
    Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
  • C. estimatedNumberOfBlocks
    Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
  • D. hasEstimatedOriginalVolume
    Indicates that an entity is associated with an approximate or calculated value for its original volume.
  • E. maximumVolumeSize
    Indicates the largest allowable size or capacity that a volume can have within a given system or context.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad22b6fc819093e655c8ce1f738b completed March 1, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69a4aa94f7c881908deeb62308942e19 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.