Triple

T16290453
Position Surface form Disambiguated ID Type / Status
Subject Gare de Foix E395505 entity
Predicate connectsTo P845 FINISHED
Object Latour-de-Carol
Latour-de-Carol is a French border railway town in the Pyrenees known for its international station where different rail gauges from France and Spain converge.
E1208331 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: Latour-de-Carol | Statement: [Gare de Foix, connectsTo, Latour-de-Carol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latour-de-Carol
Context triple: [Gare de Foix, connectsTo, Latour-de-Carol]
  • A. Calvé
    Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
  • B. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • C. Charigot
    Charigot is the surname of Aline Charigot, a French woman best known as the model, companion, and later wife of the painter Pierre-Auguste Renoir.
  • D. Clohars-Carnoët
    Clohars-Carnoët is a coastal commune in the Finistère department of Brittany in northwestern France, known for its beaches and scenic landscapes.
  • E. Lescar
    Lescar is a historic town in southwestern France known for its medieval heritage and Romanesque cathedral.
  • 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: Latour-de-Carol
Triple: [Gare de Foix, connectsTo, Latour-de-Carol]
Generated description
Latour-de-Carol is a French border railway town in the Pyrenees known for its international station where different rail gauges from France and Spain converge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Latour-de-Carol
Target entity description: Latour-de-Carol is a French border railway town in the Pyrenees known for its international station where different rail gauges from France and Spain converge.
  • A. Calvé
    Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
  • B. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • C. Charigot
    Charigot is the surname of Aline Charigot, a French woman best known as the model, companion, and later wife of the painter Pierre-Auguste Renoir.
  • D. Clohars-Carnoët
    Clohars-Carnoët is a coastal commune in the Finistère department of Brittany in northwestern France, known for its beaches and scenic landscapes.
  • E. Lescar
    Lescar is a historic town in southwestern France known for its medieval heritage and Romanesque cathedral.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2491821d0819086cffdd7551ba85a completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da268b881908f17980c48d44419 completed May 10, 2026, 7:02 a.m.
NEDg Description generation batch_6a002fad37f481908a9239220be961fb completed May 10, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_6a003051dc48819092a319a3be2e4886 completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:05 a.m.