Triple
T12026157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Recouvrance |
E286282
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Recouvrance
Recouvrance is a historic district of Brest, France, known for its maritime heritage, military installations, and traditional working-class character.
|
E959792
|
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: Recouvrance | Statement: [Pont de Recouvrance, connects, Recouvrance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recouvrance Context triple: [Pont de Recouvrance, connects, Recouvrance]
-
A.
Richepanse
Richepanse is a French surname most notably borne by Antoine Richepanse, a general of the French Revolutionary and Napoleonic Wars.
-
B.
Beaurevoir
Beaurevoir is a commune in northern France’s Aisne department, known for its historic castle where Joan of Arc was once imprisoned.
-
C.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
-
D.
Le Rappel
Le Rappel was a 19th-century French republican newspaper co-founded and edited by Charles Hugo, known for its staunch opposition to authoritarianism and defense of civil liberties.
-
E.
Reureu
Reureu is a village settlement on the island of Aitutaki in the Cook Islands.
- 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: Recouvrance Triple: [Pont de Recouvrance, connects, Recouvrance]
Generated description
Recouvrance is a historic district of Brest, France, known for its maritime heritage, military installations, and traditional working-class character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Recouvrance Target entity description: Recouvrance is a historic district of Brest, France, known for its maritime heritage, military installations, and traditional working-class character.
-
A.
Richepanse
Richepanse is a French surname most notably borne by Antoine Richepanse, a general of the French Revolutionary and Napoleonic Wars.
-
B.
Beaurevoir
Beaurevoir is a commune in northern France’s Aisne department, known for its historic castle where Joan of Arc was once imprisoned.
-
C.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
-
D.
Le Rappel
Le Rappel was a 19th-century French republican newspaper co-founded and edited by Charles Hugo, known for its staunch opposition to authoritarianism and defense of civil liberties.
-
E.
Reureu
Reureu is a village settlement on the island of Aitutaki in the Cook Islands.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f02638819091e0cc0e93fa5ea7 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b8111b88190a42a8904a2d26862 |
completed | May 1, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69f48fc7a8848190a06b34cc45db4789 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495f069c48190a6e5856c272420c0 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:47 p.m.