Triple
T10375734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura-Nord vaudois |
E244500
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dizy
Dizy is a small municipality in the canton of Vaud in western Switzerland.
|
E860330
|
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: Dizy | Statement: [Jura-Nord vaudois, contains, Dizy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dizy Context triple: [Jura-Nord vaudois, contains, Dizy]
-
A.
Dwikozy
Dwikozy is a village in southeastern Poland that serves as the seat of the local administrative district (gmina) within Sandomierz County.
-
B.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
-
C.
Dinazad
Dinazad is an alternate spelling of Dinarzad, the younger sister of Scheherazade in the classic Middle Eastern collection of tales known as One Thousand and One Nights.
-
D.
Daisi
Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
-
E.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
- 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: Dizy Triple: [Jura-Nord vaudois, contains, Dizy]
Generated description
Dizy is a small municipality in the canton of Vaud in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dizy Target entity description: Dizy is a small municipality in the canton of Vaud in western Switzerland.
-
A.
Dwikozy
Dwikozy is a village in southeastern Poland that serves as the seat of the local administrative district (gmina) within Sandomierz County.
-
B.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
-
C.
Dinazad
Dinazad is an alternate spelling of Dinarzad, the younger sister of Scheherazade in the classic Middle Eastern collection of tales known as One Thousand and One Nights.
-
D.
Daisi
Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
-
E.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
- 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.