Triple

T6326707
Position Surface form Disambiguated ID Type / Status
Subject Hazard Mitigation Grant Program E141879 entity
Predicate alsoKnownAs P39 FINISHED
Object HMGP
HMGP is a U.S. federal grant program that funds long-term hazard mitigation projects to reduce the risk and impact of future disasters.
E586538 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: HMGP | Statement: [Hazard Mitigation Grant Program, alsoKnownAs, HMGP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HMGP
Context triple: [Hazard Mitigation Grant Program, alsoKnownAs, HMGP]
  • A. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • B. HBG
    HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
  • C. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • D. GATA
    GATA is a song featured on the album "TattleTales" by rapper 6ix9ine.
  • E. HMPO
    HMPO is the abbreviated name for Her Majesty's Passport Office, the UK government agency responsible for issuing passports and managing civil registration services.
  • 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: HMGP
Triple: [Hazard Mitigation Grant Program, alsoKnownAs, HMGP]
Generated description
HMGP is a U.S. federal grant program that funds long-term hazard mitigation projects to reduce the risk and impact of future disasters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HMGP
Target entity description: HMGP is a U.S. federal grant program that funds long-term hazard mitigation projects to reduce the risk and impact of future disasters.
  • A. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • B. HBG
    HBG was a major Dutch construction and civil engineering company known for large-scale infrastructure and building projects in the Netherlands and abroad.
  • C. HG
    HG is the postcode area designation covering Harrogate and surrounding parts of North Yorkshire, England.
  • D. GATA
    GATA is a song featured on the album "TattleTales" by rapper 6ix9ine.
  • E. HMPO
    HMPO is the abbreviated name for Her Majesty's Passport Office, the UK government agency responsible for issuing passports and managing civil registration services.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e833a0819096000b47e776949d completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60410223081908c1cf3663d4b14c0 completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c60626724881908e6270c2d3652c16 completed March 27, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c606bd2228819082fcb63493664927 completed March 27, 2026, 4:25 a.m.
Created at: March 22, 2026, 4:29 p.m.