Triple
T16892020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Maison Jaune |
E424196
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Maison Jaune |
E185575
|
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: Maison Jaune | Statement: [La Maison Jaune, shortName, Maison Jaune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maison Jaune Context triple: [La Maison Jaune, shortName, Maison Jaune]
-
A.
Maison Jaune
chosen
Maison Jaune is the famous house in Arles where Vincent van Gogh lived and created some of his most iconic paintings.
-
B.
Maison Blanche
Maison Blanche is a Paris Métro station in the 13th arrondissement, serving as a stop on the city's Line 7.
-
C.
La Maison Jaune
La Maison Jaune is a popular nickname for the French football club FC Nantes, referencing its iconic yellow team colors.
-
D.
Maison Autrique
Maison Autrique is an early Art Nouveau townhouse in Schaerbeek, Brussels, designed by architect Victor Horta and noted as a key milestone in his architectural career.
-
E.
Maison-Rouge
Maison-Rouge is a French commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
- 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_6a00c2c414b081909b98e40ee9a176e2 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.