Triple

T888594
Position Surface form Disambiguated ID Type / Status
Subject Assistant Secretary of the Army E19185 entity
Predicate hasTitleVariant P455 FINISHED
Object ASA
ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
 E105418 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: ASA | Statement: [Assistant Secretary of the Army, hasTitleVariant, ASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASA
Context triple: [Assistant Secretary of the Army, hasTitleVariant, ASA]
  • A. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • B. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • C. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • D. ASI
    ASI (Agenzia Spaziale Italiana) is the Italian Space Agency responsible for coordinating Italy’s space policy, research, and missions in collaboration with international partners.
  • E. ACES
    ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
  • 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: ASA
Triple: [Assistant Secretary of the Army, hasTitleVariant, ASA]
Generated description
ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASA
Target entity description: ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
  • A. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • B. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • C. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • D. ASI
    ASI (Agenzia Spaziale Italiana) is the Italian Space Agency responsible for coordinating Italy’s space policy, research, and missions in collaboration with international partners.
  • E. ACES
    ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acff52008190ac2975c08ad29f54 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c023464481909759c457e87266ab completed March 4, 2026, 5:16 a.m.
NEDg Description generation batch_69a7c1509a8c81909b8cf074e1ce7169 completed March 4, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69a7c21dd42881908ac19fed7454d7a9 completed March 4, 2026, 5:24 a.m.
Created at: March 1, 2026, 7:39 p.m.