Triple
T23153481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Vermont |
E578379
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object |
Wilmington
Wilmington is a small but prominent town in southern Vermont known for its historic village center and proximity to nearby ski resorts and outdoor recreation.
|
E1267921
|
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: Wilmington | Statement: [Southern Vermont, majorTown, Wilmington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmington Context triple: [Southern Vermont, majorTown, Wilmington]
-
A.
Wilmington
Wilmington is a suburban town in northeastern Massachusetts, United States, located within the Greater Boston area.
-
B.
Wilmington
Wilmington is a village and civil parish in the Dartford district of Kent, England, situated near the town of Swanley.
-
C.
Wilmington
Wilmington is a historic harbor-area neighborhood in the city of Los Angeles, California, known for its proximity to the Port of Los Angeles and its industrial and maritime character.
-
D.
Wilmington
Wilmington is the largest city in the U.S. state of Delaware, known as a regional financial and corporate hub.
-
E.
Wilmington
Wilmington is a small village located in Will County, Illinois, known for its historic downtown and proximity to the Kankakee River.
- 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: Wilmington Triple: [Southern Vermont, majorTown, Wilmington]
Generated description
Wilmington is a small but prominent town in southern Vermont known for its historic village center and proximity to nearby ski resorts and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilmington Target entity description: Wilmington is a small but prominent town in southern Vermont known for its historic village center and proximity to nearby ski resorts and outdoor recreation.
-
A.
Wilmington
chosen
Wilmington is a small town in southern Vermont known for its historic village center, proximity to ski areas, and location in the Green Mountains.
-
B.
Wilmington
Wilmington is a historic port city in southeastern North Carolina known for its riverfront, nearby Atlantic beaches, and well-preserved downtown district.
-
C.
Wilmington
Wilmington is a suburban town in northeastern Massachusetts, United States, located within the Greater Boston area.
-
D.
Wilmington
Wilmington is a small village located in Will County, Illinois, known for its historic downtown and proximity to the Kankakee River.
-
E.
Wilmington
Wilmington is a small settlement located within the Parish of St. Thomas in the East in eastern Jamaica.
- F. None of above.
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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efbe9a08190bcb6e822b8eab544 |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5daffdc4819092f5750e3ee2d402 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c61c10b908190a5c3eeaedcb2e8cb |
completed | May 19, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c62f9fba081908d822630e09d3bee |
completed | May 19, 2026, 1:17 p.m. |
Created at: April 17, 2026, 4:01 p.m.