Triple
T15299272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée cantonal des Beaux-Arts |
E365740
|
entity |
| Predicate | hasNeighbor |
P5707
|
FINISHED |
| Object |
mudac
mudac is a contemporary design and applied arts museum in Lausanne, Switzerland, known for its innovative exhibitions at the Plateforme 10 arts district.
|
E1149167
|
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: mudac | Statement: [Musée cantonal des Beaux-Arts, hasNeighbor, mudac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mudac Context triple: [Musée cantonal des Beaux-Arts, hasNeighbor, mudac]
-
A.
MUC
MUC is the abbreviation for the Meritorious Unit Commendation, a U.S. military unit award recognizing exceptionally meritorious conduct in the performance of outstanding services.
-
B.
MUC
MUC is the IATA airport code for Munich Airport, a major international aviation hub in Germany.
-
C.
MUCU
MUCU is the ICAO airport code for Antonio Maceo International Airport in Santiago de Cuba, Cuba.
-
D.
MDAD
MDAD is the Miami-Dade Aviation Department, the county agency that manages and operates Miami International Airport and several general aviation airports in Miami-Dade County, Florida.
-
E.
MADOC
MADOC is the Spanish Army’s Training and Doctrine Command, responsible for developing military doctrine, education, and training.
- 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: mudac Triple: [Musée cantonal des Beaux-Arts, hasNeighbor, mudac]
Generated description
mudac is a contemporary design and applied arts museum in Lausanne, Switzerland, known for its innovative exhibitions at the Plateforme 10 arts district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: mudac Target entity description: mudac is a contemporary design and applied arts museum in Lausanne, Switzerland, known for its innovative exhibitions at the Plateforme 10 arts district.
-
A.
MUC
MUC is the abbreviation for the Meritorious Unit Commendation, a U.S. military unit award recognizing exceptionally meritorious conduct in the performance of outstanding services.
-
B.
MUC
MUC is the IATA airport code for Munich Airport, a major international aviation hub in Germany.
-
C.
MUCU
MUCU is the ICAO airport code for Antonio Maceo International Airport in Santiago de Cuba, Cuba.
-
D.
MDAD
MDAD is the Miami-Dade Aviation Department, the county agency that manages and operates Miami International Airport and several general aviation airports in Miami-Dade County, Florida.
-
E.
MADOC
MADOC is the Spanish Army’s Training and Doctrine Command, responsible for developing military doctrine, education, and training.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03686bfb8819080ba0caae652170a |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef8513a08190b2d2a7dde85dd43d |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef23de4688190beeb59ef43891e3d |
completed | May 9, 2026, 8:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef2d8fe04819084bb3deb6859d746 |
completed | May 9, 2026, 8:39 a.m. |
Created at: April 10, 2026, 3:15 a.m.