Triple

T2025850
Position Surface form Disambiguated ID Type / Status
Subject Armed Forces of Luxembourg E44404 entity
Predicate forceStructure P34697 FINISHED
Object single land component without separate navy LITERAL 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: single land component without separate navy | Statement: [Armed Forces of Luxembourg, forceStructure, single land component without separate navy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: forceStructure
Context triple: [Armed Forces of Luxembourg, forceStructure, single land component without separate navy]
  • A. forceType
    Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
  • B. forcedBy
    Indicates that an entity is compelled or coerced into an action or state by another entity.
  • C. forceDirection
    Indicates the direction in which a force is applied or exerted in the relationship between entities.
  • D. powerStructure
    Indicates how authority, control, and decision-making are distributed and organized among entities within a system or group.
  • E. supportsStructure
    Indicates that one entity bears or provides physical support to another entity, helping to hold it up or maintain its structural stability.
  • F. None of above. chosen

Provenance (4 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb7a656248190ac2ced196b35bc6b completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb85fe7a08190b991b1f23bc34f93 completed March 7, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:38 p.m.