Triple

T608810
Position Surface form Disambiguated ID Type / Status
Subject Operation Typhoon E12051 entity
Predicate militaryUnit P1063 FINISHED
Object 4th Army E46150 NE 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: 4th Army | Statement: [Operation Typhoon, militaryUnit, 4th Army]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 4th Army
Context triple: [Operation Typhoon, militaryUnit, 4th Army]
  • A. 4th Army chosen
    The 4th Army was a major field formation of the German Wehrmacht that took part in key early World War II campaigns, including the invasion of Poland.
  • B. 8th Army
    The 8th Army was a major British field army of the Second World War, best known for its pivotal role in the North African campaign, including the Battle of El Alamein.
  • C. 8th Army
    The 8th Army was a major field formation of the German Wehrmacht that took part in early World War II campaigns, including the invasion of Poland.
  • D. 10th Army
    The 10th Army was a major German Wehrmacht field army that played a key role in early World War II campaigns, including the invasion of Poland.
  • E. German Tenth Army
    The German Tenth Army was a major Wehrmacht field army that led the defense of southern Italy against the Allied invasion during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df54eec8190af3f5f04c01d5d2a completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c38d2ee88190b577ca56b84e851e completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:35 p.m.