Triple

T749502
Position Surface form Disambiguated ID Type / Status
Subject Legion of Merit E15414 entity
Predicate abbreviation P43 FINISHED
Object LOM
LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
 E89008 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: LOM | Statement: [Legion of Merit, abbreviation, LOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LOM
Context triple: [Legion of Merit, abbreviation, LOM]
  • A. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • B. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • C. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • D. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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: LOM
Triple: [Legion of Merit, abbreviation, LOM]
Generated description
LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LOM
Target entity description: LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • A. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • B. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • C. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • D. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6304e0c8190827fb57c5cac2da9 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e8d80481908505896fb6ead36b completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655c79044819098e36081b754c9be completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65638cd5881908b421d9d8a90291b completed March 3, 2026, 3:32 a.m.
Created at: March 1, 2026, 7:37 p.m.