Triple
T12240930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Reno |
E291726
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DOR
DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
|
E972256
|
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: DOR | Statement: [Diocese of Reno, abbreviation, DOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DOR Context triple: [Diocese of Reno, abbreviation, DOR]
-
A.
DOR
DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
-
B.
DOR
DOR is the vehicle registration code used on license plates for the English county of Dorset.
-
C.
DOR
DOR is the California state agency that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and retain employment.
-
D.
Dor
Dor is the standard astronomical abbreviation for Dorado, a southern constellation named after the dolphinfish and known for containing part of the Large Magellanic Cloud.
-
E.
DUR
DUR is the IATA airport code for King Shaka International Airport serving Durban, South Africa.
- 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: DOR Triple: [Diocese of Reno, abbreviation, DOR]
Generated description
DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DOR Target entity description: DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
-
A.
DOR
DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
-
B.
DOR
DOR is the vehicle registration code used on license plates for the English county of Dorset.
-
C.
DOR
DOR is the California state agency that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and retain employment.
-
D.
Dor
Dor is the standard astronomical abbreviation for Dorado, a southern constellation named after the dolphinfish and known for containing part of the Large Magellanic Cloud.
-
E.
DUR
DUR is the IATA airport code for King Shaka International Airport serving Durban, South Africa.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb59ce4819099999b8755fb8b98 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab5a404819089f9ea868deda10c |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c6211448190af411f1b6f42c4b6 |
completed | May 2, 2026, 2:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d1429f08190b7f3f053044f5a9e |
completed | May 2, 2026, 2:41 p.m. |
Created at: April 8, 2026, 9:51 p.m.