Triple
T11407346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Modern Art, Tokyo |
E270272
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MOMAT
MOMAT is Japan’s premier national museum dedicated to modern and contemporary art, located in Tokyo.
|
E923960
|
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: MOMAT | Statement: [National Museum of Modern Art, Tokyo, abbreviation, MOMAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOMAT Context triple: [National Museum of Modern Art, Tokyo, abbreviation, MOMAT]
-
A.
MOM
MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
-
B.
MOM
MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
-
C.
MOMEP
MOMEP was a multinational military observer mission established to monitor and verify the ceasefire and separation of forces between Ecuador and Peru following the Cenepa War.
-
D.
MAM
MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
-
E.
“Mamo”
“Mamo” is the song performed by Anastasia Prikhodko that represented the host nation Russia at the Eurovision Song Contest 2009.
- 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: MOMAT Triple: [National Museum of Modern Art, Tokyo, abbreviation, MOMAT]
Generated description
MOMAT is Japan’s premier national museum dedicated to modern and contemporary art, located in Tokyo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MOMAT Target entity description: MOMAT is Japan’s premier national museum dedicated to modern and contemporary art, located in Tokyo.
-
A.
MOM
MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
-
B.
MOM
MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
-
C.
MOMEP
MOMEP was a multinational military observer mission established to monitor and verify the ceasefire and separation of forces between Ecuador and Peru following the Cenepa War.
-
D.
MAM
MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
-
E.
“Mamo”
“Mamo” is the song performed by Anastasia Prikhodko that represented the host nation Russia at the Eurovision Song Contest 2009.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d6eea4c81908319a590d2d9e177 |
completed | April 20, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69e59777b1208190a33a50da286535ee |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3cf9d388190944340af484b3a54 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.