Triple
T2859131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Fond du Lac |
E63274
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DioFDL
DioFDL is the commonly used abbreviation for the Episcopal Diocese of Fond du Lac, a regional jurisdiction of the Episcopal Church in northeastern Wisconsin.
|
E306443
|
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: DioFDL | Statement: [Diocese of Fond du Lac, abbreviation, DioFDL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DioFDL Context triple: [Diocese of Fond du Lac, abbreviation, DioFDL]
-
A.
DioNC
DioNC is the commonly used abbreviation for the Episcopal Diocese of North Carolina, a regional jurisdiction of the Episcopal Church in the United States.
-
B.
F.D.
F.D. is the standard abbreviation of the Latin title "Fidei Defensor," historically used by English and later British monarchs to denote their role as "Defender of the Faith."
-
C.
DIUS
DIUS was a former UK government department responsible for higher education, innovation, and skills policy.
-
D.
LDF
LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
-
E.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
- 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: DioFDL Triple: [Diocese of Fond du Lac, abbreviation, DioFDL]
Generated description
DioFDL is the commonly used abbreviation for the Episcopal Diocese of Fond du Lac, a regional jurisdiction of the Episcopal Church in northeastern Wisconsin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DioFDL Target entity description: DioFDL is the commonly used abbreviation for the Episcopal Diocese of Fond du Lac, a regional jurisdiction of the Episcopal Church in northeastern Wisconsin.
-
A.
DioNC
DioNC is the commonly used abbreviation for the Episcopal Diocese of North Carolina, a regional jurisdiction of the Episcopal Church in the United States.
-
B.
F.D.
F.D. is the standard abbreviation of the Latin title "Fidei Defensor," historically used by English and later British monarchs to denote their role as "Defender of the Faith."
-
C.
DIUS
DIUS was a former UK government department responsible for higher education, innovation, and skills policy.
-
D.
LDF
LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
-
E.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8aec3c8190a4168d8c916b5268 |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d972aa481908f6cb5f27706990c |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b021fbc2808190b415fd8af934cf73 |
completed | March 10, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b02656f8488190ab0d715d1634b6a7 |
completed | March 10, 2026, 2:10 p.m. |
Created at: March 6, 2026, 10:02 p.m.