Triple

T1503137
Position Surface form Disambiguated ID Type / Status
Subject MLS Next Pro E33839 entity
Predicate hasAbbreviation P43 FINISHED
Object MLSNP
MLSNP is the commonly used abbreviation for MLS Next Pro, a professional soccer league in the United States and Canada that serves as a developmental tier for Major League Soccer.
 E171402 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: MLSNP | Statement: [MLS Next Pro, hasAbbreviation, MLSNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MLSNP
Context triple: [MLS Next Pro, hasAbbreviation, MLSNP]
  • A. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • B. MPIDS
    MPIDS is a Max Planck Institute in Germany focused on fundamental research in nonlinear dynamics, complex systems, and self-organization in physics and related fields.
  • C. BWA
    BWA is the three-letter ISO 3166-1 alpha-3 country code assigned to Botswana for international identification and data standards.
  • D. NGS
    NGS is the National Geodetic Survey, the U.S. federal agency responsible for defining and managing the national coordinate system used for mapping, navigation, and surveying.
  • E. 23andMe
    23andMe is a personal genomics and biotechnology company best known for providing direct-to-consumer DNA testing and ancestry analysis services.
  • 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: MLSNP
Triple: [MLS Next Pro, hasAbbreviation, MLSNP]
Generated description
MLSNP is the commonly used abbreviation for MLS Next Pro, a professional soccer league in the United States and Canada that serves as a developmental tier for Major League Soccer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MLSNP
Target entity description: MLSNP is the commonly used abbreviation for MLS Next Pro, a professional soccer league in the United States and Canada that serves as a developmental tier for Major League Soccer.
  • A. MLT
    MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
  • B. MPIDS
    MPIDS is a Max Planck Institute in Germany focused on fundamental research in nonlinear dynamics, complex systems, and self-organization in physics and related fields.
  • C. BWA
    BWA is the three-letter ISO 3166-1 alpha-3 country code assigned to Botswana for international identification and data standards.
  • D. NGS
    NGS is the National Geodetic Survey, the U.S. federal agency responsible for defining and managing the national coordinate system used for mapping, navigation, and surveying.
  • E. 23andMe
    23andMe is a personal genomics and biotechnology company best known for providing direct-to-consumer DNA testing and ancestry analysis services.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8872fae4c81908e7d6961e6c5fa96 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb578e4819082d254462e10e4f0 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1d34656481909949b4bfd83c6142 completed March 8, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad1dd7b34c8190b6957be2112506dd completed March 8, 2026, 6:57 a.m.
Created at: March 4, 2026, 7:24 p.m.