Triple

T7587055
Position Surface form Disambiguated ID Type / Status
Subject HIV/AIDS, Hepatitis, STD and TB Administration E179640 entity
Predicate shortName P43 FINISHED
Object HAHSTA
HAHSTA is a public health agency focused on preventing and managing HIV/AIDS, hepatitis, sexually transmitted diseases, and tuberculosis.
 E675651 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: HAHSTA | Statement: [HIV/AIDS, Hepatitis, STD and TB Administration, shortName, HAHSTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAHSTA
Context triple: [HIV/AIDS, Hepatitis, STD and TB Administration, shortName, HAHSTA]
  • A. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • B. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • C. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • D. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • E. HAS
    HAS is the stock ticker symbol for Hasbro, Inc., a major American toy and entertainment company traded on the NASDAQ.
  • 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: HAHSTA
Triple: [HIV/AIDS, Hepatitis, STD and TB Administration, shortName, HAHSTA]
Generated description
HAHSTA is a public health agency focused on preventing and managing HIV/AIDS, hepatitis, sexually transmitted diseases, and tuberculosis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAHSTA
Target entity description: HAHSTA is a public health agency focused on preventing and managing HIV/AIDS, hepatitis, sexually transmitted diseases, and tuberculosis.
  • A. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • B. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • C. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • D. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • E. HAS
    HAS is the stock ticker symbol for Hasbro, Inc., a major American toy and entertainment company traded on the NASDAQ.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9970efc8190b1b9286d86331359 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86186ce4481908e528c57cdd07d2d completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86223bfec8190b47f840e39c9a51a completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862b8f3688190b0abc00458f70d7e completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.