Triple

T11256080
Position Surface form Disambiguated ID Type / Status
Subject General (Imperial Japanese Army) E266440 entity
Predicate comparableForeignRank P18223 FINISHED
Object General (United States Army) 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: General (United States Army) | Statement: [General (Imperial Japanese Army), comparableForeignRank, General (United States Army)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: comparableForeignRank
Context triple: [General (Imperial Japanese Army), comparableForeignRank, General (United States Army)]
  • A. comparableInternationalRank
    Indicates that two entities have international rankings that can be meaningfully compared to each other.
  • B. rankComparedTo
    Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
  • C. hasComparableRank chosen
    Indicates that two entities hold positions or levels that are equivalent or similar in rank within a given hierarchy or system.
  • D. isRankedAlongside
    Indicates that two or more entities share the same or very similar rank, status, or position within a given ordering or hierarchy.
  • E. rankingInCountry
    Indicates the position or level an entity holds within an ordered list specific to a particular country.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e935b85c819085e1abf2dd4099c5 completed April 9, 2026, 6 p.m.
PD Predicate disambiguation batch_69d78793c00481908a3f764b610b77a4 completed April 9, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:31 p.m.