Triple
T10629974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays d’Auge |
E250425
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Livarot
Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
|
E881411
|
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: Livarot | Statement: [Pays d’Auge, contains, Livarot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livarot Context triple: [Pays d’Auge, contains, Livarot]
-
A.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
B.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
C.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
-
D.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
E.
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
- 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: Livarot Triple: [Pays d’Auge, contains, Livarot]
Generated description
Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livarot Target entity description: Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
-
A.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
B.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
C.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
-
D.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
E.
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df93a2b88190a0f3a52b8e88f54f |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacd1f88081908e65e9092acc2a56 |
completed | April 12, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 8, 2026, 9 p.m.