Triple

T11326925
Position Surface form Disambiguated ID Type / Status
Subject 5th Infantry Division E268243 entity
Predicate VietnamEraRole P98517 FINISHED
Object mechanized infantry division 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: mechanized infantry division | Statement: [5th Infantry Division, VietnamEraRole, mechanized infantry division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: VietnamEraRole
Context triple: [5th Infantry Division, VietnamEraRole, mechanized infantry division]
  • A. VietnameseLeader
    Indicates that an entity holds or has held a leadership position or governing authority over Vietnam.
  • B. SouthVietnamesePresidentAtTime
    Indicates that a given person is serving as the President of South Vietnam at a specified point in time.
  • C. positionOnVietnamWar
    Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
  • D. independenceEraRole
    Indicates the role or position an entity held during a historical period of struggle for independence.
  • E. roleHistoricallyAssociatedWith
    Indicates that one role, position, or function has been historically linked or commonly associated with another entity, role, or context over time.
  • F. None of above. chosen

Provenance (4 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69d787ad575081908274280bf75d95fd completed April 9, 2026, 11:04 a.m.
PDg Predicate description generation batch_69d796d049e88190a9fd7508f477f541 completed April 9, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:32 p.m.