Triple
T2688137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Hartford |
E57533
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Vernon
Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
|
E287590
|
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: Vernon | Statement: [Greater Hartford, hasMajorCity, Vernon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vernon Context triple: [Greater Hartford, hasMajorCity, Vernon]
-
A.
Vernon
Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
-
B.
Vernon
Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
-
C.
Linwood
Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
-
D.
Winslow
Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
-
E.
Winslow
Winslow is an English-origin surname historically associated with early colonial families in New England.
- 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: Vernon Triple: [Greater Hartford, hasMajorCity, Vernon]
Generated description
Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vernon Target entity description: Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
-
A.
Vernon
Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
-
B.
Vernon
Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
-
C.
Linwood
Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
-
D.
Winslow
Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
-
E.
Winslow
Winslow is an English-origin surname historically associated with early colonial families in New England.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f1ba3081909a349a2f30f8f9c9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0741bc48190adffe6cfae831e26 |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa13a81bc819091463e6589e72361 |
completed | March 10, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1ab8da8819090af3ed60b417040 |
completed | March 10, 2026, 4:44 a.m. |
Created at: March 6, 2026, 9:54 p.m.