Triple

T1865847
Position Surface form Disambiguated ID Type / Status
Subject National HIV/AIDS Strategy of the United States E34918 entity
Predicate alsoKnownAs P39 FINISHED
Object NHAS
NHAS is the United States’ comprehensive national framework for coordinating efforts to prevent, treat, and reduce the impact of HIV/AIDS.
 E208337 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: NHAS | Statement: [National HIV/AIDS Strategy of the United States, alsoKnownAs, NHAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NHAS
Context triple: [National HIV/AIDS Strategy of the United States, alsoKnownAs, NHAS]
  • A. NHA
    NHA is the commonly used abbreviation for the National Hockey Association, a historic professional ice hockey league that operated in Canada in the early 20th century.
  • B. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • C. NNHS
    NNHS is a large public high school located in Newton, Massachusetts, known for its strong academics, diverse student body, and extensive extracurricular programs.
  • D. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • 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: NHAS
Triple: [National HIV/AIDS Strategy of the United States, alsoKnownAs, NHAS]
Generated description
NHAS is the United States’ comprehensive national framework for coordinating efforts to prevent, treat, and reduce the impact of HIV/AIDS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NHAS
Target entity description: NHAS is the United States’ comprehensive national framework for coordinating efforts to prevent, treat, and reduce the impact of HIV/AIDS.
  • A. NHA
    NHA is the commonly used abbreviation for the National Hockey Association, a historic professional ice hockey league that operated in Canada in the early 20th century.
  • B. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • C. NNHS
    NNHS is a large public high school located in Newton, Massachusetts, known for its strong academics, diverse student body, and extensive extracurricular programs.
  • D. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0a208e481908406c008f700a585 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1d540c0819099558507bdf2ffa4 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add2c4943c81909ff3163330aa4f80 completed March 8, 2026, 7:49 p.m.
NED2 Entity disambiguation (via description) batch_69add38c2b3c8190b0f33bc36d475a63 completed March 8, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:34 p.m.