Triple

T20088928
Position Surface form Disambiguated ID Type / Status
Subject Oscar Niemeyer Museum E496213 entity
Predicate shortName P43 FINISHED
Object MON
MON is a renowned contemporary art museum in Curitiba, Brazil, celebrated for its striking, futuristic architecture designed by Oscar Niemeyer.
 E1409532 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: MON | Statement: [Oscar Niemeyer Museum, shortName, MON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MON
Context triple: [Oscar Niemeyer Museum, shortName, MON]
  • A. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • B. MON
    MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • C. MON
    MON is the three-letter International Olympic Committee country code representing Monaco in Olympic competitions.
  • D. MON
    MON is the post-nominal abbreviation used to denote recipients of Nigeria’s national honor, the Order of the Niger.
  • E. Mon
    Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
  • 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: MON
Triple: [Oscar Niemeyer Museum, shortName, MON]
Generated description
MON is a renowned contemporary art museum in Curitiba, Brazil, celebrated for its striking, futuristic architecture designed by Oscar Niemeyer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MON
Target entity description: MON is a renowned contemporary art museum in Curitiba, Brazil, celebrated for its striking, futuristic architecture designed by Oscar Niemeyer.
  • A. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • B. MON
    MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • C. MON
    MON is the three-letter International Olympic Committee country code representing Monaco in Olympic competitions.
  • D. MON
    MON is the post-nominal abbreviation used to denote recipients of Nigeria’s national honor, the Order of the Niger.
  • E. Mon
    Mon is a town in the northeastern Indian state of Nagaland, known as the headquarters of Mon district and as a cultural center of the Konyak Naga tribe.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655d65a88190a510132f36341b6c completed April 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f4bdf448190a0abfbaddcf6bd63 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081ff7022c81908859a7f5b6a3506d completed May 16, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a08209cbaf88190b2a6d1284fc02228 completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 11:18 p.m.