Triple
T19350678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Limoges |
E484007
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Saint-Jouvent
Saint-Jouvent is a small commune in west-central France, located in the Haute-Vienne department of the Nouvelle-Aquitaine region.
|
E1456111
|
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: Saint-Jouvent | Statement: [arrondissement of Limoges, contains, Saint-Jouvent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Jouvent Context triple: [arrondissement of Limoges, contains, Saint-Jouvent]
-
A.
Saint-Jean-d'Heurs
Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
-
B.
Saint-Victour
Saint-Victour is a small commune in the Corrèze department of central France.
-
C.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
D.
Saignon
Saignon is a picturesque hilltop village in southeastern France’s Vaucluse department, known for its medieval architecture and panoramic views over the Luberon valley.
-
E.
Saint-Brais
Saint-Brais is a small rural municipality in the canton of Jura in northwestern Switzerland, situated in the Franches-Montagnes district.
- 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: Saint-Jouvent Triple: [arrondissement of Limoges, contains, Saint-Jouvent]
Generated description
Saint-Jouvent is a small commune in west-central France, located in the Haute-Vienne department of the Nouvelle-Aquitaine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saint-Jouvent Target entity description: Saint-Jouvent is a small commune in west-central France, located in the Haute-Vienne department of the Nouvelle-Aquitaine region.
-
A.
Saint-Jean-d'Heurs
Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
-
B.
Saint-Victour
Saint-Victour is a small commune in the Corrèze department of central France.
-
C.
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
D.
Saignon
Saignon is a picturesque hilltop village in southeastern France’s Vaucluse department, known for its medieval architecture and panoramic views over the Luberon valley.
-
E.
Saint-Brais
Saint-Brais is a small rural municipality in the canton of Jura in northwestern Switzerland, situated in the Franches-Montagnes district.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190381c081909c747a22422fb02c |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918b234588190ac3b70bf4a3220e6 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a091971e5308190acdf4a65b1e67118 |
completed | May 17, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0919f58008819097e05a187ed4b3de |
completed | May 17, 2026, 1:29 a.m. |
Created at: April 10, 2026, 1:34 p.m.