Triple

T7031536
Position Surface form Disambiguated ID Type / Status
Subject Federal Office of Rural Health Policy E163281 entity
Predicate hasAbbreviation P43 FINISHED
Object FORHP
FORHP is the U.S. Federal Office of Rural Health Policy, a government agency focused on improving access to health care and health outcomes in rural communities.
 E637345 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: FORHP | Statement: [Federal Office of Rural Health Policy, hasAbbreviation, FORHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FORHP
Context triple: [Federal Office of Rural Health Policy, hasAbbreviation, FORHP]
  • A. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • B. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • C. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • D. HPH
    HPH is the IATA airport code for Cat Bi International Airport serving Hai Phong, Vietnam.
  • E. SFHSA
    SFHSA is the San Francisco Human Services Agency, the city and county department responsible for providing social services and public assistance programs to residents in need.
  • 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: FORHP
Triple: [Federal Office of Rural Health Policy, hasAbbreviation, FORHP]
Generated description
FORHP is the U.S. Federal Office of Rural Health Policy, a government agency focused on improving access to health care and health outcomes in rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FORHP
Target entity description: FORHP is the U.S. Federal Office of Rural Health Policy, a government agency focused on improving access to health care and health outcomes in rural communities.
  • A. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • B. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • C. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • D. HPH
    HPH is the IATA airport code for Cat Bi International Airport serving Hai Phong, Vietnam.
  • E. SFHSA
    SFHSA is the San Francisco Human Services Agency, the city and county department responsible for providing social services and public assistance programs to residents in need.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e20ee1208190811be10a84e7d8a4 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775980920819081d31b8d2843fb3d completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77aa1c704819088a9561ac55f9037 completed March 28, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_69c77b082f3c8190a649297ce0f816bb completed March 28, 2026, 6:54 a.m.
Created at: March 27, 2026, 2:35 p.m.