Triple

T3436213
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Department of Fish and Game E72457 entity
Predicate hasAbbreviation P43 FINISHED
Object DFG
DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
E357187 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: DFG | Statement: [Massachusetts Department of Fish and Game, hasAbbreviation, DFG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DFG
Context triple: [Massachusetts Department of Fish and Game, hasAbbreviation, DFG]
  • A. DFG
    DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • B. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • C. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • D. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • E. GdF
    GdF is the commonly used abbreviation for Italy’s Guardia di Finanza, a militarized police force responsible for financial crime, smuggling, and border control.
  • 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: DFG
Triple: [Massachusetts Department of Fish and Game, hasAbbreviation, DFG]
Generated description
DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DFG
Target entity description: DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
  • A. DFG
    DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • B. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • C. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • D. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • E. GdF
    GdF is the commonly used abbreviation for Italy’s Guardia di Finanza, a militarized police force responsible for financial crime, smuggling, and border control.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f2e4b4819085336fb539daf3c7 completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35481a03c81908fd69da55d81aca3 completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b355a7dc308190ba8ab0db251592a2 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3567042ac8190aacf4e30da1aa816 completed March 13, 2026, 12:12 a.m.
Created at: March 8, 2026, 3:16 p.m.