Triple

T604172
Position Surface form Disambiguated ID Type / Status
Subject Operation Blue E11560 entity
Predicate alsoKnownAs P39 FINISHED
Object Fall Blau E20942 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: Fall Blau | Statement: [Operation Blue, alsoKnownAs, Fall Blau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fall Blau
Context triple: [Operation Blue, alsoKnownAs, Fall Blau]
  • A. Fall Blau chosen
    Fall Blau was the German Wehrmacht’s 1942 summer offensive on the Eastern Front aimed at capturing the oil fields of the Caucasus and advancing toward Stalingrad during World War II.
  • B. Fall Weiss
    Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
  • C. “Fall”
    “Fall” is a globally popular Afrobeats hit by Nigerian singer Davido, known for its catchy melody and massive international streaming success.
  • D. Leto
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • E. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc67b248190b0bb195553f03be8 completed March 1, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a523898af08190bfa7e73ab6e1c7f3 completed March 2, 2026, 5:43 a.m.
Created at: March 1, 2026, 7:35 p.m.