Triple

T3886935
Position Surface form Disambiguated ID Type / Status
Subject Tour Bretagne E92963 entity
Predicate nickname P55 FINISHED
Object La Tour Bretagne
La Tour Bretagne is a prominent high-rise office skyscraper in Nantes, France, known for its panoramic city views and distinctive modernist architecture.
E396956 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: La Tour Bretagne | Statement: [Tour Bretagne, nickname, La Tour Bretagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Tour Bretagne
Context triple: [Tour Bretagne, nickname, La Tour Bretagne]
  • A. Paris–Bordeaux
    Paris–Bordeaux is a major high-speed rail corridor in France connecting the capital with the southwest, known for its fast TGV services.
  • B. Tour de la Chaîne
    Tour de la Chaîne is a historic medieval defensive tower guarding the entrance to the old harbor of La Rochelle on France’s Atlantic coast.
  • C. Paris–Toulouse
    Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
  • D. Dauphiné
    Dauphiné is a historical region in southeastern France, centered around Grenoble in the Alps, known for its role in French history and distinctive alpine culture.
  • E. Roubaix
    Roubaix is a city in northern France known for its textile industry heritage and as the finish of the Paris–Roubaix professional cycling race.
  • 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: La Tour Bretagne
Triple: [Tour Bretagne, nickname, La Tour Bretagne]
Generated description
La Tour Bretagne is a prominent high-rise office skyscraper in Nantes, France, known for its panoramic city views and distinctive modernist architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Tour Bretagne
Target entity description: La Tour Bretagne is a prominent high-rise office skyscraper in Nantes, France, known for its panoramic city views and distinctive modernist architecture.
  • A. Paris–Bordeaux
    Paris–Bordeaux is a major high-speed rail corridor in France connecting the capital with the southwest, known for its fast TGV services.
  • B. Tour de la Chaîne
    Tour de la Chaîne is a historic medieval defensive tower guarding the entrance to the old harbor of La Rochelle on France’s Atlantic coast.
  • C. Paris–Toulouse
    Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
  • D. Dauphiné
    Dauphiné is a historical region in southeastern France, centered around Grenoble in the Alps, known for its role in French history and distinctive alpine culture.
  • E. Roubaix
    Roubaix is a city in northern France known for its textile industry heritage and as the finish of the Paris–Roubaix professional cycling race.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeecabe3548190a5cbf9d0af0bcfb6 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8bfd68819084a0228ce6f6b94d completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d72707c8190a3522d449299ed1e completed March 14, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_69b51e08c7ac8190aab4b270258cdb69 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:20 p.m.