Triple

T19869004
Position Surface form Disambiguated ID Type / Status
Subject National Museum Institute of History of Art, Conservation and Museology E477462 entity
Predicate abbreviation P43 FINISHED
Object NMI
NMI is a premier Indian university-level institution specializing in the study and research of art history, conservation, and museology.
 E1400416 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: NMI | Statement: [National Museum Institute of History of Art, Conservation and Museology, abbreviation, NMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NMI
Context triple: [National Museum Institute of History of Art, Conservation and Museology, abbreviation, NMI]
  • A. NMIC
    NMIC is the U.S. hub for maritime intelligence collection, analysis, and dissemination, supporting naval operations and national security decision-making.
  • B. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • C. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • D. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • E. NI
    NI is the two-letter ISO 3166-1 alpha-2 country code for Nicaragua.
  • 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: NMI
Triple: [National Museum Institute of History of Art, Conservation and Museology, abbreviation, NMI]
Generated description
NMI is a premier Indian university-level institution specializing in the study and research of art history, conservation, and museology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NMI
Target entity description: NMI is a premier Indian university-level institution specializing in the study and research of art history, conservation, and museology.
  • A. NMIC
    NMIC is the U.S. hub for maritime intelligence collection, analysis, and dissemination, supporting naval operations and national security decision-making.
  • B. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • C. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • D. NI
    NI is the vehicle registration code used on license plates for the Serbian city of Niš.
  • E. NI
    NI is the two-letter ISO 3166-1 alpha-2 country code for Nicaragua.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a168288190a2fbb735d1fd30a8 completed April 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc283388190abe25a678c1671ed completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc57696081908475464010ae707b completed May 16, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a07dcd440b88190b9f44d16f4e06291 completed May 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 1:51 p.m.