Triple

T8523011
Position Surface form Disambiguated ID Type / Status
Subject College of Health and Human Development E201738 entity
Predicate abbreviation P43 FINISHED
Object HHD
HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
 E738039 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: HHD | Statement: [College of Health and Human Development, abbreviation, HHD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HHD
Context triple: [College of Health and Human Development, abbreviation, HHD]
  • A. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • B. SHH
    SHH is the railway station code used to identify Shanghai South Railway Station in China’s rail network.
  • C. 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.
  • D. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • E. BHD
    BHD is the IATA airport code for George Best Belfast City Airport, a major regional airport serving Belfast, Northern Ireland.
  • 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: HHD
Triple: [College of Health and Human Development, abbreviation, HHD]
Generated description
HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HHD
Target entity description: HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
  • A. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • B. SHH
    SHH is the railway station code used to identify Shanghai South Railway Station in China’s rail network.
  • C. 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.
  • D. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • E. BHD
    BHD is the IATA airport code for George Best Belfast City Airport, a major regional airport serving Belfast, Northern Ireland.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64215408190b45f462a32d3471d completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e8399f481909992aedf0d918cbc completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffcf7488190b94cae18be14e8ff completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce507766448190830dd3efc8a79a74 completed April 2, 2026, 11:18 a.m.
Created at: March 30, 2026, 6:16 p.m.