Triple

T7443418
Position Surface form Disambiguated ID Type / Status
Subject HF/DF E171810 entity
Predicate alsoKnownAs P39 FINISHED
Object HFDF
HFDF is an abbreviation that can refer to various entities or terms, depending on the specific context in which it is used.
 E665564 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: HFDF | Statement: [HF/DF, alsoKnownAs, HFDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HFDF
Context triple: [HF/DF, alsoKnownAs, HFDF]
  • A. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • B. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • C. 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).
  • D. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • E. HDF
    HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
  • 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: HFDF
Triple: [HF/DF, alsoKnownAs, HFDF]
Generated description
HFDF is an abbreviation that can refer to various entities or terms, depending on the specific context in which it is used.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HFDF
Target entity description: HFDF is an abbreviation that can refer to various entities or terms, depending on the specific context in which it is used.
  • A. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • B. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • C. 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).
  • D. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • E. HDF
    HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36d0fbc81908cb7cfe99f80de08 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8279c9cec8190bde450f845f7d0ea completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828c8b0588190a5a99380dc25d837 completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8296962b48190b9f5cc4a66b93b91 completed March 28, 2026, 7:18 p.m.
Created at: March 27, 2026, 3:13 p.m.