Triple
T17424001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Pamiers |
E423688
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Trémoulet
Trémoulet is a small commune in the Ariège department of southwestern France, situated within the arrondissement of Pamiers.
|
E1267786
|
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: Trémoulet | Statement: [arrondissement of Pamiers, contains, Trémoulet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trémoulet Context triple: [arrondissement of Pamiers, contains, Trémoulet]
-
A.
Bobino
Bobino is a historic Parisian theater and music hall known for hosting a wide range of popular entertainment performances.
-
B.
Tardieu
Tardieu is a French surname historically associated with several notable figures in politics, arts, and sciences.
-
C.
Loiseau
Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
-
D.
Sévrier
Sévrier is a French lakeside commune in the Haute-Savoie department, known for its scenic setting on the western shore of Lake Annecy near the Alps.
-
E.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
- 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: Trémoulet Triple: [arrondissement of Pamiers, contains, Trémoulet]
Generated description
Trémoulet is a small commune in the Ariège department of southwestern France, situated within the arrondissement of Pamiers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trémoulet Target entity description: Trémoulet is a small commune in the Ariège department of southwestern France, situated within the arrondissement of Pamiers.
-
A.
Bobino
Bobino is a historic Parisian theater and music hall known for hosting a wide range of popular entertainment performances.
-
B.
Tardieu
Tardieu is a French surname historically associated with several notable figures in politics, arts, and sciences.
-
C.
Loiseau
Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
-
D.
Sévrier
Sévrier is a French lakeside commune in the Haute-Savoie department, known for its scenic setting on the western shore of Lake Annecy near the Alps.
-
E.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4423999ac81909fdbd8bcffcb30c9 |
completed | April 19, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a80670bc8190aa8c7651e8973bb3 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01aa8b777c81909b8a4a5e790634e8 |
completed | May 11, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ab5a7a408190a457ddef4a0a7b09 |
completed | May 11, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:46 a.m.