Triple

T653273
Position Surface form Disambiguated ID Type / Status
Subject Sturmabteilung E11389 entity
Predicate abbreviationMeaning P8493 FINISHED
Object Storm Detachment E81657 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: Storm Detachment | Statement: [Sturmabteilung, abbreviationMeaning, Storm Detachment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storm Detachment
Context triple: [Sturmabteilung, abbreviationMeaning, Storm Detachment]
  • A. Storm Detachment chosen
    Storm Detachment is the English translation of "Sturmabteilung," the paramilitary wing of the early Nazi Party in Germany.
  • B. The Storm
    "The Storm" is a short story by American author Kate Chopin that explores themes of passion, infidelity, and female desire in the context of a brief extramarital encounter during a Louisiana thunderstorm.
  • C. Leaf Storm
    Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
  • D. Firestorm
    Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
  • E. Stellar Wind
    Stellar Wind was a secret post-9/11 National Security Agency surveillance program that collected large-scale communications data on U.S. persons without traditional warrants.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4a660c8190b887cb4da01ef7ae completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a591486b708190b0191e958c6c8851 completed March 2, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:36 p.m.