Triple

T10184145
Position Surface form Disambiguated ID Type / Status
Subject Navy Staff of Spain E236864 entity
Predicate hasPart P35 FINISHED
Object plans directorate E491359 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: plans directorate | Statement: [Navy Staff of Spain, hasPart, plans directorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: plans directorate
Context triple: [Navy Staff of Spain, hasPart, plans directorate]
  • A. plans and policy directorate chosen
    The plans and policy directorate is a senior Army staff body responsible for developing strategic plans, policies, and guidance that shape the service’s long-term direction and operations.
  • B. Planning Directorate
    The Planning Directorate is a senior Israel Defense Forces body responsible for long-term strategic planning, force buildup, and coordination with Israel’s political and defense establishments.
  • C. Planera
    Planera is a small genus of deciduous trees in the elm family, best known for the species Planera aquatica, commonly called the water elm.
  • D. Planer
    Planer is a German surname borne by various notable individuals, including figures in the arts and sciences.
  • E. Plan K
    Plan K is a standardized Medicare Supplement (Medigap) plan that offers partial coverage of certain out-of-pocket costs in exchange for lower premiums and an annual out-of-pocket limit.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded3566f881909e0d1366f501d554 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3179b9de88190ba3beb7d6dbf7ad3 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:12 p.m.