Triple

T19596787
Position Surface form Disambiguated ID Type / Status
Subject Hindu American Foundation E470366 entity
Predicate hasAbbreviation P43 FINISHED
Object HAF
HAF is a U.S.-based advocacy and educational nonprofit that represents and promotes the civil and human rights, public policy interests, and cultural understanding of Hindu Americans.
 E1385383 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: HAF | Statement: [Hindu American Foundation, hasAbbreviation, HAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAF
Context triple: [Hindu American Foundation, hasAbbreviation, HAF]
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. HFA
    HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
  • C. HFA
    HFA refers to the Hyogo Framework for Action 2005–2015, a global blueprint adopted by UN member states to systematically reduce disaster risks and build the resilience of nations and communities.
  • D. HFA
    HFA is the commonly used acronym for the New York State Housing Finance Agency, a public authority that finances affordable housing developments across New York State.
  • E. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • 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: HAF
Triple: [Hindu American Foundation, hasAbbreviation, HAF]
Generated description
HAF is a U.S.-based advocacy and educational nonprofit that represents and promotes the civil and human rights, public policy interests, and cultural understanding of Hindu Americans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAF
Target entity description: HAF is a U.S.-based advocacy and educational nonprofit that represents and promotes the civil and human rights, public policy interests, and cultural understanding of Hindu Americans.
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. HFA
    HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
  • C. HFA
    HFA refers to the Hyogo Framework for Action 2005–2015, a global blueprint adopted by UN member states to systematically reduce disaster risks and build the resilience of nations and communities.
  • D. HFA
    HFA is the commonly used acronym for the New York State Housing Finance Agency, a public authority that finances affordable housing developments across New York State.
  • E. HAJ
    HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407b997881909762c8f919c9cdad completed April 20, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1926b88190870d13afa412b444 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a076110cebc8190b3d7be3e858c92bf completed May 15, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_6a07616ce66881909846d54ca6e2ca99 completed May 15, 2026, 6:09 p.m.
Created at: April 10, 2026, 1:43 p.m.