Triple
T782032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nantes |
E16517
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Tour Bretagne
Tour Bretagne is a prominent high-rise office tower and observation point dominating the skyline of Nantes, France.
|
E92963
|
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: Tour Bretagne | Statement: [Nantes, hasLandmark, Tour Bretagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour Bretagne Context triple: [Nantes, hasLandmark, Tour Bretagne]
-
A.
Tours, France
Tours, France is a historic city in the Loire Valley known for its medieval old town, Renaissance architecture, and role as a cultural and economic center of central France.
-
B.
Tour Voile
Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
-
C.
French Riviera
The French Riviera is a glamorous Mediterranean coastline in southeastern France renowned for its sunny climate, beaches, luxury resorts, and vibrant artistic and cultural heritage.
-
D.
Brittany
Brittany is a historic cultural region in northwest France known for its distinct Celtic heritage, Breton language, rugged coastline, and strong Catholic traditions.
-
E.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
- 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: Tour Bretagne Triple: [Nantes, hasLandmark, Tour Bretagne]
Generated description
Tour Bretagne is a prominent high-rise office tower and observation point dominating the skyline of Nantes, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tour Bretagne Target entity description: Tour Bretagne is a prominent high-rise office tower and observation point dominating the skyline of Nantes, France.
-
A.
Tours, France
Tours, France is a historic city in the Loire Valley known for its medieval old town, Renaissance architecture, and role as a cultural and economic center of central France.
-
B.
Tour Voile
Tour Voile is a prominent annual offshore sailing race in France featuring multihull and monohull competitions along the French coastline.
-
C.
French Riviera
The French Riviera is a glamorous Mediterranean coastline in southeastern France renowned for its sunny climate, beaches, luxury resorts, and vibrant artistic and cultural heritage.
-
D.
Brittany
Brittany is a historic cultural region in northwest France known for its distinct Celtic heritage, Breton language, rugged coastline, and strong Catholic traditions.
-
E.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733c2e608190962440d6ef637784 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a673ccc2308190a887ada146290de8 |
completed | March 3, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6742d7ba881909385cbc51a2ed7bd |
completed | March 3, 2026, 5:39 a.m. |
Created at: March 1, 2026, 7:37 p.m.