Triple
T19799582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creuse |
E475633
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Crozant
Crozant is a picturesque rural commune in central France known for its dramatic river gorges, medieval castle ruins, and its role as an inspiration for many landscape painters.
|
E1395474
|
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: Crozant | Statement: [Creuse, contains, Crozant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crozant Context triple: [Creuse, contains, Crozant]
-
A.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
B.
Rottenegg
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
-
C.
Ophasselt
Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
-
D.
Malvy
Malvy is a French surname most notably associated with Louis Malvy, a prominent early 20th-century French politician.
-
E.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
- 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: Crozant Triple: [Creuse, contains, Crozant]
Generated description
Crozant is a picturesque rural commune in central France known for its dramatic river gorges, medieval castle ruins, and its role as an inspiration for many landscape painters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crozant Target entity description: Crozant is a picturesque rural commune in central France known for its dramatic river gorges, medieval castle ruins, and its role as an inspiration for many landscape painters.
-
A.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
B.
Rottenegg
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
-
C.
Ophasselt
Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
-
D.
Malvy
Malvy is a French surname most notably associated with Louis Malvy, a prominent early 20th-century French politician.
-
E.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c930a08190a2263db7170edd71 |
completed | April 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50696588190a54cc249f2218b26 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c6509f4c8190aee658954c6cf920 |
completed | May 16, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c7549de08190916e3e48125beebb |
completed | May 16, 2026, 1:24 a.m. |
Created at: April 10, 2026, 1:49 p.m.