Triple

T7102222
Position Surface form Disambiguated ID Type / Status
Subject 32nd Infantry Division E165484 entity
Predicate garrisonDuringInterwarPeriod P74913 FINISHED
Object Wisconsin E16627 NE FINISHED

How this triple was built (3 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: Wisconsin | Statement: [32nd Infantry Division, garrisonDuringInterwarPeriod, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisconsin
Context triple: [32nd Infantry Division, garrisonDuringInterwarPeriod, Wisconsin]
  • A. Wisconsin chosen
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • B. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its extensive freshwater coastline, automotive industry centered in Detroit, and diverse natural landscapes.
  • C. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its extensive freshwater coastline, automotive industry heritage, and diverse forests and waterways.
  • D. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its automotive industry, extensive freshwater coastline, and divided Upper and Lower Peninsulas.
  • E. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its automotive industry, extensive freshwater coastline, and manufacturing heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: garrisonDuringInterwarPeriod
Context triple: [32nd Infantry Division, garrisonDuringInterwarPeriod, Wisconsin]
  • A. garrisonDuringColdWar
    Indicates that a military force was stationed at a location as a garrison specifically during the Cold War period.
  • B. garrisonDuringWar
    Indicates that a military force is stationed in a specific location for defense or control during a time of war.
  • C. garrisonAfterWar
    Indicates that a military force is stationed in or occupies a location following the end of a war or major conflict.
  • D. statusInInterwarPeriod
    Indicates the role, condition, or standing that an entity had specifically during the interwar period between World War I and World War II.
  • E. garrisonDuringBattle
    Indicates that an entity is stationed to defend or hold a location specifically during the time a battle is taking place.
  • F. None of above. chosen

Provenance (5 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e588aee08190bfb3d96135c0a322 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a3231f9c8190a19ddff3f5bf7cac completed March 28, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69c6e1c313e481908b61a23fc89f9332 completed March 27, 2026, 8 p.m.
PDg Predicate description generation batch_69c6e4a15b088190bee9a23e94aaac53 completed March 27, 2026, 8:12 p.m.
Created at: March 27, 2026, 2:42 p.m.