Triple

T19966467
Position Surface form Disambiguated ID Type / Status
Subject National Museum of Art, Osaka E479946 entity
Predicate abbreviation P43 FINISHED
Object NMAO
NMAO is a major art museum in Osaka, Japan, known for its extensive collection and exhibitions of modern and contemporary art.
E1190060 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: NMAO | Statement: [National Museum of Art, Osaka, abbreviation, NMAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NMAO
Context triple: [National Museum of Art, Osaka, abbreviation, NMAO]
  • A. NMA
    NMA is the three-letter IATA airport code assigned to Namangan Airport in Namangan, Uzbekistan.
  • B. NAAD
    NAAD is an American-based advocacy organization that represents Azerbaijani Americans and promotes democratic values and human rights related to Azerbaijan.
  • C. MNAA
    MNAA is the public authority responsible for owning, operating, and managing airports serving the Nashville, Tennessee metropolitan area.
  • D. NMA, IAI
    NMA, IAI is the abbreviated name for Japan’s National Museum of Art, which operates as an Independent Administrative Institution overseeing several major national art museums.
  • E. NAOB
    NAOB is the standard comprehensive Norwegian dictionary published by the Norwegian Academy.
  • 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: NMAO
Triple: [National Museum of Art, Osaka, abbreviation, NMAO]
Generated description
NMAO is a major art museum in Osaka, Japan, known for its extensive collection and exhibitions of modern and contemporary art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NMAO
Target entity description: NMAO is a major art museum in Osaka, Japan, known for its extensive collection and exhibitions of modern and contemporary art.
  • A. NMA
    NMA is the three-letter IATA airport code assigned to Namangan Airport in Namangan, Uzbekistan.
  • B. NAAD
    NAAD is an American-based advocacy organization that represents Azerbaijani Americans and promotes democratic values and human rights related to Azerbaijan.
  • C. MNAA
    MNAA is the public authority responsible for owning, operating, and managing airports serving the Nashville, Tennessee metropolitan area.
  • D. NMA, IAI chosen
    NMA, IAI is the abbreviated name for Japan’s National Museum of Art, which operates as an Independent Administrative Institution overseeing several major national art museums.
  • E. NAOB
    NAOB is the standard comprehensive Norwegian dictionary published by the Norwegian Academy.
  • F. None of above.

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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc5e41881908c1e8867820f1c0c completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdd12e4c81908488a7a829ee7bc2 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07ff37a0508190af7cf7a045201338 completed May 16, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_6a07ffad71508190a6636834b7f25434 completed May 16, 2026, 5:25 a.m.
Created at: April 10, 2026, 1:54 p.m.