Triple
T10953526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Brienne-le-Château |
E258782
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Lentilles
Lentilles is a small commune in the Aube department in the Grand Est region of northeastern France.
|
E894901
|
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: Lentilles | Statement: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Lentilles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lentilles Context triple: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Lentilles]
-
A.
Multai
Multai is a town in Madhya Pradesh, India, known as a traditional source region of the Tapti River and a local religious and commercial center.
-
B.
Acciaroli
Acciaroli is a coastal village in southern Italy’s Cilento region, known for its picturesque harbor, beaches, and unusually high number of long-lived residents.
-
C.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
-
D.
Asparros
Asparros was a military commander known for leading forces in the Battle of Pamplona.
-
E.
Ficulle
Ficulle is a small historic hill town in central Italy’s Umbria region, known for its medieval architecture and scenic countryside.
- 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: Lentilles Triple: [canton of Brienne-le-Château, containsAdministrativeTerritorialEntity, Lentilles]
Generated description
Lentilles is a small commune in the Aube department in the Grand Est region of northeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lentilles Target entity description: Lentilles is a small commune in the Aube department in the Grand Est region of northeastern France.
-
A.
Multai
Multai is a town in Madhya Pradesh, India, known as a traditional source region of the Tapti River and a local religious and commercial center.
-
B.
Acciaroli
Acciaroli is a coastal village in southern Italy’s Cilento region, known for its picturesque harbor, beaches, and unusually high number of long-lived residents.
-
C.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
-
D.
Asparros
Asparros was a military commander known for leading forces in the Battle of Pamplona.
-
E.
Ficulle
Ficulle is a small historic hill town in central Italy’s Umbria region, known for its medieval architecture and scenic countryside.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c64089c8190a9c0aa63d7e7dc64 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.