Triple
T1856456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonne |
E41714
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Château-Neuf
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
|
E217674
|
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: Château-Neuf | Statement: [Bayonne, hasLandmark, Château-Neuf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Château-Neuf Context triple: [Bayonne, hasLandmark, Château-Neuf]
-
A.
Château-Vieux
Château-Vieux is a historic medieval fortress in Bayonne, France, notable for its long military and architectural heritage.
-
B.
Châtel-Guyon
Châtel-Guyon is a French spa town in the Auvergne region, known for its thermal springs and Belle Époque architecture.
-
C.
Château de la Bâtie
Château de la Bâtie is a historic medieval castle overlooking the town of Vienne in southeastern France.
-
D.
Château de Boncourt
Château de Boncourt was a French estate best known as the birthplace of the German Romantic poet and botanist Adelbert von Chamisso.
-
E.
Château de Colombes
Château de Colombes was a French royal residence near Paris, historically notable as the final home of Queen Henrietta Maria of France.
- 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: Château-Neuf Triple: [Bayonne, hasLandmark, Château-Neuf]
Generated description
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Château-Neuf Target entity description: Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
-
A.
Château-Vieux
Château-Vieux is a historic medieval fortress in Bayonne, France, notable for its long military and architectural heritage.
-
B.
Châtel-Guyon
Châtel-Guyon is a French spa town in the Auvergne region, known for its thermal springs and Belle Époque architecture.
-
C.
Château de la Bâtie
Château de la Bâtie is a historic medieval castle overlooking the town of Vienne in southeastern France.
-
D.
Château de Boncourt
Château de Boncourt was a French estate best known as the birthplace of the German Romantic poet and botanist Adelbert von Chamisso.
-
E.
Château de Colombes
Château de Colombes was a French royal residence near Paris, historically notable as the final home of Queen Henrietta Maria of France.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07e5ed48190a7b8858e2b355109 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3c82d50819094e8ccdba0faf819 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf6023dc081908399c9ad402c7e82 |
completed | March 8, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf65600448190ae90a954f88115ff |
completed | March 8, 2026, 10:21 p.m. |
Created at: March 4, 2026, 7:33 p.m.