Triple

T9589700
Position Surface form Disambiguated ID Type / Status
Subject National Highway Freight Program E231384 entity
Predicate abbreviation P43 FINISHED
Object NHFP
NHFP is a U.S. federal funding program that supports improvements to the national freight highway network to enhance the movement of goods and reduce congestion.
 E808082 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: NHFP | Statement: [National Highway Freight Program, abbreviation, NHFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NHFP
Context triple: [National Highway Freight Program, abbreviation, NHFP]
  • A. HPN
    HPN is the IATA airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
  • B. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • C. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • D. HN
    HN is the vehicle registration code for the city of Heilbronn in the German state of Baden-Württemberg.
  • E. FHP
    FHP is the state law enforcement agency responsible for highway safety and traffic enforcement across Florida’s roadways.
  • 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: NHFP
Triple: [National Highway Freight Program, abbreviation, NHFP]
Generated description
NHFP is a U.S. federal funding program that supports improvements to the national freight highway network to enhance the movement of goods and reduce congestion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NHFP
Target entity description: NHFP is a U.S. federal funding program that supports improvements to the national freight highway network to enhance the movement of goods and reduce congestion.
  • A. HPN
    HPN is the IATA airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
  • B. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • C. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • D. HN
    HN is the vehicle registration code for the city of Heilbronn in the German state of Baden-Württemberg.
  • E. FHP
    FHP is the state law enforcement agency responsible for highway safety and traffic enforcement across Florida’s roadways.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f1696c8190addf1a43544f2c18 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161880adc819090a9be75ba2a1642 completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d161d569b88190a3d77bbe752e0c86 completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d162476bf481909a87057e4fd1dc11 completed April 4, 2026, 7:11 p.m.
Created at: March 30, 2026, 8:06 p.m.