Triple

T12645127
Position Surface form Disambiguated ID Type / Status
Subject Third Battle of the Matanikau E302001 entity
Predicate aimOfJapaneseForces P19747 FINISHED
Object destroy U.S. positions near Matanikau River 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: destroy U.S. positions near Matanikau River | Statement: [Third Battle of the Matanikau, aimOfJapaneseForces, destroy U.S. positions near Matanikau River]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimOfJapaneseForces
Context triple: [Third Battle of the Matanikau, aimOfJapaneseForces, destroy U.S. positions near Matanikau River]
  • A. objectiveOfJapaneseForces chosen
    Indicates that a specified target, goal, or aim is the military objective pursued by Japanese forces.
  • B. aimOfGermanForces
    Indicates that the specified objective or target is the intended goal or purpose of the actions undertaken by German military forces.
  • C. objectiveOfUSForces
    Indicates that a specified goal, target, or mission serves as an objective assigned to or pursued by U.S. military forces.
  • D. JapaneseForceType
    Indicates that an entity is classified as a type of Japanese military or armed force.
  • E. JapaneseForceStrength
    Indicates the size or magnitude of the Japanese military forces involved in a particular context or operation.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960b47130819097e1162ed4fc993a completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:17 p.m.