Triple
T10375731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura-Nord vaudois |
E244500
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Croy
Croy is a small municipality in the canton of Vaud in western Switzerland, known for its rural setting near the Jura mountains.
|
E860329
|
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: Croy | Statement: [Jura-Nord vaudois, contains, Croy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croy Context triple: [Jura-Nord vaudois, contains, Croy]
-
A.
Crozet
Crozet is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
B.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
-
C.
Cloyce
Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
-
D.
Darby
Darby is a small borough in Delaware County, Pennsylvania, forming part of the greater Philadelphia metropolitan area.
-
E.
Graydon
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
- 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: Croy Triple: [Jura-Nord vaudois, contains, Croy]
Generated description
Croy is a small municipality in the canton of Vaud in western Switzerland, known for its rural setting near the Jura mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Croy Target entity description: Croy is a small municipality in the canton of Vaud in western Switzerland, known for its rural setting near the Jura mountains.
-
A.
Crozet
Crozet is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
B.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
-
C.
Cloyce
Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
-
D.
Darby
Darby is a small borough in Delaware County, Pennsylvania, forming part of the greater Philadelphia metropolitan area.
-
E.
Graydon
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98106d081909d28e30d2fff6902 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795754570819093747f80e32fffce |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d7bde050ac8190b87a0c81700ad1b1 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e60afaf481909a0790c94e323143 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.