Triple
T16078322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn County |
E390031
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Wilson
Wilson is a small rural city located in Lynn County, Texas, known for its agricultural surroundings and tight-knit community.
|
E1192589
|
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: Wilson | Statement: [Lynn County, hasCommunity, Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilson Context triple: [Lynn County, hasCommunity, Wilson]
-
A.
John
John W. Tukey was an influential American mathematician and statistician known for pioneering exploratory data analysis and coining the term "bit."
-
B.
John
John Seigenthaler was an American journalist, editor, and civil rights advocate best known for his long tenure at The Tennessean and his work promoting First Amendment rights.
-
C.
John
John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
-
D.
John
John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
-
E.
John
John is the given name of John Francis Bentley, the English architect best known for designing Westminster Cathedral in London.
- 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: Wilson Triple: [Lynn County, hasCommunity, Wilson]
Generated description
Wilson is a small rural city located in Lynn County, Texas, known for its agricultural surroundings and tight-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilson Target entity description: Wilson is a small rural city located in Lynn County, Texas, known for its agricultural surroundings and tight-knit community.
-
A.
Wilson
Wilson is a city in eastern North Carolina known historically for its tobacco and textile industries and now for its cultural attractions and public gardens.
-
B.
Wilson
Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
-
C.
Wilson
Wilson is a residential suburb located within the City of Swan in Western Australia.
-
D.
Wilson
Wilson is a masculine given name of English origin commonly used in English-speaking countries.
-
E.
Wilson
Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c401a881908fcb0b753d2dfc8a |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48907148190ab04520717141788 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe67043588190864864d40956682b |
completed | May 10, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6f510cc8190b6b8c46c0356d36a |
completed | May 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 4:57 a.m.