Triple

T23406066
Position Surface form Disambiguated ID Type / Status
Subject Soviet Union E559936 entity
Predicate stationedTroopsIn P14275 FINISHED
Object Mongolia NE NERFINISHED

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: Mongolia | Statement: [Soviet Union, stationedTroopsIn, Mongolia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stationedTroopsIn
Context triple: [Soviet Union, stationedTroopsIn, Mongolia]
  • A. garrisonedForce
    Indicates that a military force is stationed in and occupies a specific location, typically for defense or control.
  • B. garrisonOrMobilization
    Indicates that military forces are stationed at a location as a garrison or are being assembled and prepared there for mobilization.
  • C. hasMilitaryPresence chosen
    Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
  • D. suppliedTroopsTo
    Indicates that one entity provided military personnel or forces to another entity.
  • E. stationedOn
    Indicates that an entity is assigned to remain at a specific location, platform, or vehicle for duty or operational purposes.
  • F. None of above.

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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e364548190b98dc09240fba58e completed April 29, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f061ed34288190a2e5e8cae03b0095 completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:38 p.m.