Triple

T28620313
Position Surface form Disambiguated ID Type / Status
Subject Armed Forces of Serbia and Montenegro E724362 entity
Predicate successorStateArmedForces P194461 FINISHED
Object Serbian Armed Forces 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: Serbian Armed Forces | Statement: [Armed Forces of Serbia and Montenegro, successorStateArmedForces, Serbian Armed Forces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorStateArmedForces
Context triple: [Armed Forces of Serbia and Montenegro, successorStateArmedForces, Serbian Armed Forces]
  • A. stateOfForces
    Indicates the condition, disposition, or readiness level of military or organizational forces at a given time.
  • B. hasArmedForces
    Indicates that an entity possesses or maintains organized military forces under its control.
  • C. armedForcesCategory
    Indicates the classification of a country's or group's military forces into a specific type or category (e.g., army, navy, air force, paramilitary).
  • D. armamentStatus
    Indicates the current condition or readiness level of an entity’s weapons or military equipment.
  • E. militarySystem
    Indicates a relationship where an entity functions as, belongs to, or is characterized by a particular military organizational or operational system.
  • 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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fd76d1e5208190a6f26651492d1e3c completed May 8, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69fd702a226c81908edfda00f4be4130 completed May 8, 2026, 5:10 a.m.
PDg Predicate description generation batch_69fd76d0d7608190b350336d6c18182d completed May 8, 2026, 5:38 a.m.
Created at: April 28, 2026, 4:33 a.m.