Triple

T9918421
Position Surface form Disambiguated ID Type / Status
Subject NATO Training Mission-Afghanistan E185928 entity
Predicate shortName P43 FINISHED
Object NTM-A
NTM-A was a NATO-led mission focused on training and developing Afghanistan’s national security forces, including the army and police.
 E829485 NE FINISHED

How this triple was built (4 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: NTM-A | Statement: [NATO Training Mission-Afghanistan, shortName, NTM-A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NTM-A
Context triple: [NATO Training Mission-Afghanistan, shortName, NTM-A]
  • A. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • B. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • C. NTZ
    NTZ is the commonly used abbreviation for the Lamlash Bay no-take marine conservation zone off the Isle of Arran in Scotland.
  • D. NTD
    NTD is the currency code commonly used to denote the New Taiwan dollar, the official monetary unit of Taiwan.
  • E. NTAS
    NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: NTM-A
Triple: [NATO Training Mission-Afghanistan, shortName, NTM-A]
Generated description
NTM-A was a NATO-led mission focused on training and developing Afghanistan’s national security forces, including the army and police.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NTM-A
Target entity description: NTM-A was a NATO-led mission focused on training and developing Afghanistan’s national security forces, including the army and police.
  • A. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • B. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • C. NTZ
    NTZ is the commonly used abbreviation for the Lamlash Bay no-take marine conservation zone off the Isle of Arran in Scotland.
  • D. NTD
    NTD is the currency code commonly used to denote the New Taiwan dollar, the official monetary unit of Taiwan.
  • E. NTAS
    NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
  • F. None of above. chosen

Provenance (5 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5685a908190ab3e55b9bf9613f6 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dec42848190ab9f8663155df83f completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ef343a4819093b915a66c63fbaa completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212d0ed108190bbde23439734618a completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:42 p.m.