Triple

T1609254
Position Surface form Disambiguated ID Type / Status
Subject Federal Oil and Gas Royalty Management Act of 1982 E34579 entity
Predicate shortName P43 FINISHED
Object FOGRMA
FOGRMA is a U.S. federal law enacted in 1982 that governs the management, collection, and auditing of royalties from oil and gas production on federal and Indian lands.
 E183028 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: FOGRMA | Statement: [Federal Oil and Gas Royalty Management Act of 1982, shortName, FOGRMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FOGRMA
Context triple: [Federal Oil and Gas Royalty Management Act of 1982, shortName, FOGRMA]
  • A. FGR4
    FGR4 is a multirole combat aircraft designation used by the Royal Air Force for the Eurofighter Typhoon in its fighter, ground-attack, and reconnaissance configuration.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • D. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • E. PGFD
    PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
  • 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: FOGRMA
Triple: [Federal Oil and Gas Royalty Management Act of 1982, shortName, FOGRMA]
Generated description
FOGRMA is a U.S. federal law enacted in 1982 that governs the management, collection, and auditing of royalties from oil and gas production on federal and Indian lands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FOGRMA
Target entity description: FOGRMA is a U.S. federal law enacted in 1982 that governs the management, collection, and auditing of royalties from oil and gas production on federal and Indian lands.
  • A. FGR4
    FGR4 is a multirole combat aircraft designation used by the Royal Air Force for the Eurofighter Typhoon in its fighter, ground-attack, and reconnaissance configuration.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • D. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • E. PGFD
    PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622a84548190a66d45eec70f9b85 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c2f038819093690bff46056939 completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad52ebf6a08190b870e3e02d22ea69 completed March 8, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69ad5341856881909a31b4cee958e843 completed March 8, 2026, 10:45 a.m.
Created at: March 4, 2026, 7:28 p.m.