Triple

T7817643
Position Surface form Disambiguated ID Type / Status
Subject Asian Health Services E181050 entity
Predicate abbreviation P43 FINISHED
Object AHS
AHS is a community-based health organization that provides culturally and linguistically appropriate medical, dental, and behavioral health services to Asian and Pacific Islander and other underserved populations.
 E694916 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: AHS | Statement: [Asian Health Services, abbreviation, AHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AHS
Context triple: [Asian Health Services, abbreviation, AHS]
  • A. AHS
    AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
  • B. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • C. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • D. EAHS
    EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
  • E. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • 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: AHS
Triple: [Asian Health Services, abbreviation, AHS]
Generated description
AHS is a community-based health organization that provides culturally and linguistically appropriate medical, dental, and behavioral health services to Asian and Pacific Islander and other underserved populations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AHS
Target entity description: AHS is a community-based health organization that provides culturally and linguistically appropriate medical, dental, and behavioral health services to Asian and Pacific Islander and other underserved populations.
  • A. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • B. AHS
    AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
  • C. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • D. EAHS
    EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
  • E. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf9708bdc8190a5154efe0f96f458 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1488a2e48190924f44b46f925d87 completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb1732bb608190aa776f23f0dc6189 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a62569c81908709d814954f667e completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:40 p.m.