Triple

T831393
Position Surface form Disambiguated ID Type / Status
Subject Morale Operations Branch E17972 entity
Predicate partOf P40 FINISHED
Object OSS E16815 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: OSS | Statement: [Morale Operations Branch, partOf, OSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSS
Context triple: [Morale Operations Branch, partOf, OSS]
  • A. OSS chosen
    OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
  • B. OSS Society
    The OSS Society is a nonprofit organization dedicated to honoring the legacy and preserving the history of the World War II-era Office of Strategic Services and its role in U.S. intelligence and special operations.
  • C. OS
    OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
  • D. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • E. Sun Storage systems
    Sun Storage systems are a line of enterprise data storage hardware and software solutions developed by Sun Microsystems for high-performance, scalable, and reliable data management.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb4be948190ae757df85bdc40e4 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9991488190808adb29d3ad6273 completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.