Triple
T4818516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Episcopal Diocese of Western Kansas |
E107649
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
EDWK
EDWK is the commonly used abbreviation for the Episcopal Diocese of Western Kansas, a regional jurisdiction of the Episcopal Church in the United States.
|
E471854
|
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: EDWK | Statement: [Episcopal Diocese of Western Kansas, hasAbbreviation, EDWK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDWK Context triple: [Episcopal Diocese of Western Kansas, hasAbbreviation, EDWK]
-
A.
EDSD
EDSD is the commonly used abbreviation for the Episcopal Diocese of San Diego, a regional jurisdiction of the Episcopal Church in Southern California.
-
B.
Ed
Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
-
C.
ED
ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
-
D.
ED
ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
-
E.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
- 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: EDWK Triple: [Episcopal Diocese of Western Kansas, hasAbbreviation, EDWK]
Generated description
EDWK is the commonly used abbreviation for the Episcopal Diocese of Western Kansas, a regional jurisdiction of the Episcopal Church in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EDWK Target entity description: EDWK is the commonly used abbreviation for the Episcopal Diocese of Western Kansas, a regional jurisdiction of the Episcopal Church in the United States.
-
A.
EDSD
EDSD is the commonly used abbreviation for the Episcopal Diocese of San Diego, a regional jurisdiction of the Episcopal Church in Southern California.
-
B.
Ed
Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
-
C.
ED
ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
-
D.
ED
ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
-
E.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c96f4dc81909e3186159b5c75ab |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dbbfe588190bae0aca210bea2bc |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4f6ceb60819080dc1ee93950a7f0 |
completed | March 21, 2026, 7:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4fbc83188190af2c9767aa9272a7 |
completed | March 21, 2026, 7:58 a.m. |
Created at: March 20, 2026, 1:24 p.m.