Triple

T30034461
Position Surface form Disambiguated ID Type / Status
Subject Philippine–United States relations E763115 entity
Predicate militaryExercise P72293 FINISHED
Object Balikatan
Balikatan is an annual joint military exercise between the Philippines and the United States focused on enhancing defense cooperation, interoperability, and regional security.
 E1896037 NE FINISHED

How this triple was built (3 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: Balikatan | Statement: [Philippine–United States relations, militaryExercise, Balikatan]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Balikatan
Triple: [Philippine–United States relations, militaryExercise, Balikatan]
Generated description
Balikatan is an annual joint military exercise between the Philippines and the United States focused on enhancing defense cooperation, interoperability, and regional security.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: militaryExercise
Context triple: [Philippine–United States relations, militaryExercise, Balikatan]
  • A. militaryActivity
    Indicates that an entity is engaged in, associated with, or affected by actions, operations, or preparations conducted by armed forces.
  • B. militaryOperationName chosen
    Indicates the specific named military operation associated with an action, event, or entity.
  • C. coordinatesMilitaryOperationsOf
    Indicates having authority to plan, direct, and manage the military operations carried out by another entity.
  • D. militarySystem
    Indicates a relationship where an entity functions as, belongs to, or is characterized by a particular military organizational or operational system.
  • E. militaryMeasure
    Indicates a relationship where an entity undertakes, imposes, or is subject to a specific military-related action, policy, or operational measure.
  • F. None of above.

Provenance (6 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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a273235d378819089c3f6396c47085e completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a2733b478588190829fde78ec103f6d completed June 8, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a2734d963048190bdd26f2b580a3b41 completed June 8, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 29, 2026, 6:50 p.m.