Triple
T16132167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Mende |
E391424
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Balsièges
Balsièges is a small commune in the Lozère department of southern France, known for its rural setting within the Massif Central region.
|
E1212155
|
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: Balsièges | Statement: [arrondissement of Mende, contains, Balsièges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balsièges Context triple: [arrondissement of Mende, contains, Balsièges]
-
A.
Bessèges
Bessèges is a commune in the Gard department of southern France, historically known for its coal mining and location in the Cévennes region.
-
B.
Cabrières
Cabrières is a French wine-producing area in the Languedoc region, known for its distinctive red and rosé wines made primarily from Mediterranean grape varieties.
-
C.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
D.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
E.
Aiguèze
Aiguèze is a picturesque medieval village in southern France, known for its hilltop setting overlooking the Ardèche River and its well-preserved historic architecture.
- 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: Balsièges Triple: [arrondissement of Mende, contains, Balsièges]
Generated description
Balsièges is a small commune in the Lozère department of southern France, known for its rural setting within the Massif Central region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balsièges Target entity description: Balsièges is a small commune in the Lozère department of southern France, known for its rural setting within the Massif Central region.
-
A.
Bessèges
Bessèges is a commune in the Gard department of southern France, historically known for its coal mining and location in the Cévennes region.
-
B.
Cabrières
Cabrières is a French wine-producing area in the Languedoc region, known for its distinctive red and rosé wines made primarily from Mediterranean grape varieties.
-
C.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
D.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
E.
Aiguèze
Aiguèze is a picturesque medieval village in southern France, known for its hilltop setting overlooking the Ardèche River and its well-preserved historic architecture.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c44fe7c81908eb32c0b0967365f |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003ec3c3c481909f2ad743b3cb486e |
completed | May 10, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003f300e688190a12352fef2f801f9 |
completed | May 10, 2026, 8:17 a.m. |
Created at: April 10, 2026, 5:01 a.m.