Triple

T8765919
Position Surface form Disambiguated ID Type / Status
Subject Ending the HIV Epidemic in the U.S. initiative E208338 entity
Predicate alsoKnownAs P39 FINISHED
Object EHE
EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
 E757271 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: EHE | Statement: [Ending the HIV Epidemic in the U.S. initiative, alsoKnownAs, EHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EHE
Context triple: [Ending the HIV Epidemic in the U.S. initiative, alsoKnownAs, EHE]
  • A. EHEH
    EHEH is the ICAO airport code for Eindhoven Airport, a major regional airport in the Netherlands.
  • B. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • C. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • D. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • E. EAHC
    EAHC is the abbreviation for the East African High Commission, a former regional administrative body that coordinated common services among British East African territories.
  • 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: EHE
Triple: [Ending the HIV Epidemic in the U.S. initiative, alsoKnownAs, EHE]
Generated description
EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EHE
Target entity description: EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • A. EHEH
    EHEH is the ICAO airport code for Eindhoven Airport, a major regional airport in the Netherlands.
  • B. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • C. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • D. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • E. EAHC
    EAHC is the abbreviation for the East African High Commission, a former regional administrative body that coordinated common services among British East African territories.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee97fd0819087ef8fe14b37ae43 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf519f029081908ad0ae79f35b3e9d completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf560021148190b60f3f32b0a952b4 completed April 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf5654aa4c8190a368a0caca8ed45b completed April 3, 2026, 5:55 a.m.
Created at: March 30, 2026, 6:40 p.m.