Triple
T14009471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western District of North Carolina |
E337039
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WDNC
WDNC is the United States District Court for the Western District of North Carolina, a federal trial court within the Fourth Circuit.
|
E1072983
|
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: WDNC | Statement: [Western District of North Carolina, abbreviation, WDNC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WDNC Context triple: [Western District of North Carolina, abbreviation, WDNC]
-
A.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
B.
WMMR
WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
-
C.
WNEW-FM
WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
-
D.
WDOL
WDOL (Wage Determinations OnLine) was a U.S. government website that provided federal contracting wage determinations before its functions were consolidated into SAM.gov.
-
E.
WUSN
WUSN is a Chicago-based country music radio station commonly known as "US*99."
- 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: WDNC Triple: [Western District of North Carolina, abbreviation, WDNC]
Generated description
WDNC is the United States District Court for the Western District of North Carolina, a federal trial court within the Fourth Circuit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WDNC Target entity description: WDNC is the United States District Court for the Western District of North Carolina, a federal trial court within the Fourth Circuit.
-
A.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
B.
WMMR
WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
-
C.
WNEW-FM
WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
-
D.
WDOL
WDOL (Wage Determinations OnLine) was a U.S. government website that provided federal contracting wage determinations before its functions were consolidated into SAM.gov.
-
E.
WUSN
WUSN is a Chicago-based country music radio station commonly known as "US*99."
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca7bbd88190a377d3b74f3d6224 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae6691b48190a0affc662cbb2d4e |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf71ad648190b9128851ba62590e |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 9, 2026, 10:19 p.m.