Triple

T1591466
Position Surface form Disambiguated ID Type / Status
Subject Afghan National Army E34186 entity
Predicate abbreviation P43 FINISHED
Object ANA
ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
 E181734 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: ANA | Statement: [Afghan National Army, abbreviation, ANA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANA
Context triple: [Afghan National Army, abbreviation, ANA]
  • A. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • B. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • C. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • D. ANC
    ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
  • E. ANC
    ANC is the commonly used abbreviation for the Air Navigation Commission, a technical body of the International Civil Aviation Organization responsible for developing global aviation standards and recommended practices.
  • 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: ANA
Triple: [Afghan National Army, abbreviation, ANA]
Generated description
ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANA
Target entity description: ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • A. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • B. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • C. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • D. ANC
    ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
  • E. ANC
    ANC is the commonly used abbreviation for the Air Navigation Commission, a technical body of the International Civil Aviation Organization responsible for developing global aviation standards and recommended practices.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb2c480008190bb472cfdab74c387 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a0f5348190ae3fe8033360d800 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4a938fb08190b462fc72e1e77ed8 completed March 8, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_69ad4b0e62ac81908a51d36f9e3677fe completed March 8, 2026, 10:10 a.m.
Created at: March 4, 2026, 7:27 p.m.