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.