Triple

T55712
Position Surface form Disambiguated ID Type / Status
Subject NMTI E1101 entity
Predicate abbreviation P43 FINISHED
Object NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
 E5662 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: NMTI | Statement: [NMTI, abbreviation, NMTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NMTI
Context triple: [NMTI, abbreviation, NMTI]
  • A. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • B. NAM
    NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
  • C. N8 Research Partnership
    N8 Research Partnership is a collaboration of eight research-intensive universities in Northern England focused on advancing world-class research, innovation, and economic growth.
  • D. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • E. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • 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: NMTI
Triple: [NMTI, abbreviation, NMTI]
Generated description
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NMTI
Target entity description: NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • A. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • B. NAM
    NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
  • C. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • D. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • E. NSO
    NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b07f4a881909e32115e84da02a3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255398bac81909c4ae9bba79f6c19 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a2570e30d88190b7a0d20cf3a94760 completed Feb. 28, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69a257a1f340819091d3aa5a665ce50b completed Feb. 28, 2026, 2:49 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.