Triple

T16892021
Position Surface form Disambiguated ID Type / Status
Subject FC Nantes E424196 entity
Predicate hasNickname P39 FINISHED
Object La Maison Jaune E424196 NE FINISHED

How this triple was built (2 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 Maison Jaune | Statement: [FC Nantes, hasNickname, La Maison Jaune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Maison Jaune
Context triple: [FC Nantes, hasNickname, La Maison Jaune]
  • A. La Maison Jaune chosen
    La Maison Jaune is a popular nickname for the French football club FC Nantes, referencing its iconic yellow team colors.
  • B. Maison Jaune
    Maison Jaune is the famous house in Arles where Vincent van Gogh lived and created some of his most iconic paintings.
  • C. Le Nid
    Le Nid is a whimsical, bird-themed bar and panoramic lounge in Nantes, France, known for its artistic design and sweeping views over the city from the top of Tour Bretagne.
  • D. La casa verde
    La casa verde is a landmark novel by Peruvian writer Mario Vargas Llosa that intertwines multiple narratives to explore corruption, desire, and social conflict in mid-20th-century Peru.
  • E. La Petite Hutte
    La Petite Hutte is a popular comedic play by French dramatist André Roussin, known for its lighthearted farce and witty dialogue.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc5a5308190937ebd05356bd91d completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a7fd8481908ef82a13418b1c2d completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.