Triple
T10663799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brive arrondissement |
E251295
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Larche
Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
|
E876653
|
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: Larche | Statement: [Brive arrondissement, contains, Larche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larche Context triple: [Brive arrondissement, contains, Larche]
-
A.
Larche
Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
-
B.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
C.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
-
D.
Loncin
Loncin is a locality in the municipality of Ans in the province of Liège, Belgium.
-
E.
Jougne
Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
- 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: Larche Triple: [Brive arrondissement, contains, Larche]
Generated description
Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larche Target entity description: Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
-
A.
Larche
Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
-
B.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
C.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
-
D.
Loncin
Loncin is a locality in the municipality of Ans in the province of Liège, Belgium.
-
E.
Jougne
Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31db6288190857533213fa9f20d |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9566e08190a92b49ce73963078 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc2b66c8190909a23927fbe3af5 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e189800819087bf6af15b2370a2 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:08 p.m.