Triple

T17130588
Position Surface form Disambiguated ID Type / Status
Subject Allied intelligence services E415711 entity
Predicate hasPart P35 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: [Allied intelligence services, hasPart, OSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSS
Context triple: [Allied intelligence services, hasPart, 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
    OSS is the station code for Ossington station on Toronto's Line 2 Bloor–Danforth subway.
  • C. oss
    oss is the ISO 639-3 language code for the Ossetian (Iron) language spoken primarily in the Caucasus region.
  • D. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • E. 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.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f029d1a48190a9d4094827d11d23 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414cd5d481908d11eb230d2283cd completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.