Triple

T717301
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Canet-en-Roussillon
Canet-en-Roussillon is a coastal commune and popular Mediterranean seaside resort in southern France’s Pyrénées-Orientales department.
 E86561 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: Canet-en-Roussillon | Statement: [Occitanie, containsCity, Canet-en-Roussillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canet-en-Roussillon
Context triple: [Occitanie, containsCity, Canet-en-Roussillon]
  • A. Margat
    Margat is a prominent medieval Crusader fortress in Syria that served as a major stronghold of the Knights Hospitaller.
  • B. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • C. Mougins
    Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
  • D. Collioure
    Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
  • E. Arles
    Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
  • 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: Canet-en-Roussillon
Triple: [Occitanie, containsCity, Canet-en-Roussillon]
Generated description
Canet-en-Roussillon is a coastal commune and popular Mediterranean seaside resort in southern France’s Pyrénées-Orientales department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canet-en-Roussillon
Target entity description: Canet-en-Roussillon is a coastal commune and popular Mediterranean seaside resort in southern France’s Pyrénées-Orientales department.
  • A. Margat
    Margat is a prominent medieval Crusader fortress in Syria that served as a major stronghold of the Knights Hospitaller.
  • B. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • C. Mougins
    Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
  • D. Collioure
    Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
  • E. Arles
    Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63757e5848190b7c11820f67b20a7 completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63a3e81688190ab49d55fb53bfb00 completed March 3, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_69a63ae6b6b88190aa2bb2e39b7afff6 completed March 3, 2026, 1:35 a.m.
Created at: March 1, 2026, 7:37 p.m.