Triple

T17371992
Position Surface form Disambiguated ID Type / Status
Subject Adjutant-General to the Forces E422337 entity
Predicate hasAbbreviation P43 FINISHED
Object AG
AG is the standard abbreviation for the Adjutant-General to the Forces, a senior administrative officer role in the British Army responsible for personnel and organizational matters.
E1265386 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: AG | Statement: [Adjutant-General to the Forces, hasAbbreviation, AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AG
Context triple: [Adjutant-General to the Forces, hasAbbreviation, AG]
  • A. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • B. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • C. AG
    AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • D. AG
    AG is the Swiss vehicle registration code for the canton of Aargau.
  • E. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • 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: AG
Triple: [Adjutant-General to the Forces, hasAbbreviation, AG]
Generated description
AG is the standard abbreviation for the Adjutant-General to the Forces, a senior administrative officer role in the British Army responsible for personnel and organizational matters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AG
Target entity description: AG is the standard abbreviation for the Adjutant-General to the Forces, a senior administrative officer role in the British Army responsible for personnel and organizational matters.
  • A. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • B. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • C. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • D. AG
    AG is the Swiss vehicle registration code for the canton of Aargau.
  • E. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a69d93c81908ce2d909857a3a11 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019568a27c8190af1bbe6db75f3e6f completed May 11, 2026, 8:38 a.m.
NEDg Description generation batch_6a019b7b645c819087040b18ee447321 completed May 11, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a019c8392d8819098317ff88a5c6e06 completed May 11, 2026, 9:08 a.m.
Created at: April 10, 2026, 5:44 a.m.