Triple

T7509579
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts law E177482 entity
Predicate hasCitationAbbreviation P8075 FINISHED
Object M.G.L.
M.G.L. is the standard citation abbreviation for the Massachusetts General Laws, the codified statutes of the Commonwealth of Massachusetts.
E670237 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: M.G.L. | Statement: [Massachusetts law, hasCitationAbbreviation, M.G.L.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M.G.L.
Context triple: [Massachusetts law, hasCitationAbbreviation, M.G.L.]
  • A. Massachusetts Bar
    The Massachusetts Bar is the professional body and licensing authority for attorneys authorized to practice law in the Commonwealth of Massachusetts.
  • B. D. Mass.
    D. Mass. is the standard legal abbreviation for the United States District Court for the District of Massachusetts, a federal trial court within the First Circuit.
  • C. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • D. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • E. MGA
    MGA is the IATA airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
  • 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: M.G.L.
Triple: [Massachusetts law, hasCitationAbbreviation, M.G.L.]
Generated description
M.G.L. is the standard citation abbreviation for the Massachusetts General Laws, the codified statutes of the Commonwealth of Massachusetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M.G.L.
Target entity description: M.G.L. is the standard citation abbreviation for the Massachusetts General Laws, the codified statutes of the Commonwealth of Massachusetts.
  • A. Massachusetts Bar
    The Massachusetts Bar is the professional body and licensing authority for attorneys authorized to practice law in the Commonwealth of Massachusetts.
  • B. D. Mass.
    D. Mass. is the standard legal abbreviation for the United States District Court for the District of Massachusetts, a federal trial court within the First Circuit.
  • C. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • D. MGA
    MGA is the IATA airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
  • E. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d052888190ae8678f9134d737c completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461035b48190ba08c0f759cafe4a completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84754ec048190be1e37c2189b56ed completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:45 p.m.