Triple
T6716975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée des Arts Décoratifs (Paris) |
E153292
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | MAD Paris |
E456394
|
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: MAD Paris | Statement: [Musée des Arts Décoratifs (Paris), alsoKnownAs, MAD Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAD Paris Context triple: [Musée des Arts Décoratifs (Paris), alsoKnownAs, MAD Paris]
-
A.
MAD building
MAD building is an architectural structure associated with the Barcode Project, a contemporary waterfront development in Oslo known for its distinctive, modern high-rise buildings.
-
B.
MAD
MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
C.
MAD
chosen
MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
-
D.
The MAD Museum
The MAD Museum is an interactive museum in Stratford-upon-Avon showcasing kinetic art and mechanical design.
-
E.
Mecanoo
Mecanoo is a Dutch architecture firm renowned for its innovative, context-sensitive designs for cultural, educational, and public buildings worldwide.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d125db3c8190aad28919226a16da |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700993128819081614ccfa68d7320 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.