Triple

T1784914
Position Surface form Disambiguated ID Type / Status
Subject Housing and Home Finance Agency E39369 entity
Predicate shortName P43 FINISHED
Object HHFA
HHFA is the acronym for the former U.S. federal Housing and Home Finance Agency, which oversaw national housing and urban development programs before the creation of the Department of Housing and Urban Development (HUD).
 E198169 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: HHFA | Statement: [Housing and Home Finance Agency, shortName, HHFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HHFA
Context triple: [Housing and Home Finance Agency, shortName, HHFA]
  • A. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • B. HH
    HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
  • C. FHLBB
    FHLBB was the former U.S. federal agency that regulated and supervised the Federal Home Loan Bank System and savings and loan institutions.
  • D. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • E. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • 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: HHFA
Triple: [Housing and Home Finance Agency, shortName, HHFA]
Generated description
HHFA is the acronym for the former U.S. federal Housing and Home Finance Agency, which oversaw national housing and urban development programs before the creation of the Department of Housing and Urban Development (HUD).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HHFA
Target entity description: HHFA is the acronym for the former U.S. federal Housing and Home Finance Agency, which oversaw national housing and urban development programs before the creation of the Department of Housing and Urban Development (HUD).
  • A. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • B. HH
    HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
  • C. FHLBB
    FHLBB was the former U.S. federal agency that regulated and supervised the Federal Home Loan Bank System and savings and loan institutions.
  • D. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • E. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e5f5588190ac285d0923c5a2e9 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a476448190b072361fe4b41537 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab05cf6c81909f4713664f508ad9 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeb20390819098bad8951ec00d00 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.