Triple

T15069006
Position Surface form Disambiguated ID Type / Status
Subject Águilas de Mexicali E379826 entity
Predicate homeCountryLeague P3509 FINISHED
Object LMP
LMP is Mexico’s top professional winter baseball league, featuring teams such as Águilas de Mexicali.
 E1135577 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: LMP | Statement: [Águilas de Mexicali, homeCountryLeague, LMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LMP
Context triple: [Águilas de Mexicali, homeCountryLeague, LMP]
  • A. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • B. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • C. LMA
    LMA is a comprehensive system for observing, describing, and interpreting human movement developed from the work of choreographer and movement theorist Rudolf Laban.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. LM
    LM is the vehicle registration code used for cars registered in the town of Liptovský Mikuláš in Slovakia.
  • 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: LMP
Triple: [Águilas de Mexicali, homeCountryLeague, LMP]
Generated description
LMP is Mexico’s top professional winter baseball league, featuring teams such as Águilas de Mexicali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LMP
Target entity description: LMP is Mexico’s top professional winter baseball league, featuring teams such as Águilas de Mexicali.
  • A. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • B. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • C. LMA
    LMA is a comprehensive system for observing, describing, and interpreting human movement developed from the work of choreographer and movement theorist Rudolf Laban.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. LM
    LM is the vehicle registration code used for cars registered in the town of Liptovský Mikuláš in Slovakia.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cd4b6c8190aa9ff73d5be31864 completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea8e838b4819091e0a3d099c49059 completed May 9, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69fea986e0dc8190a56e71288c6a7ef4 completed May 9, 2026, 3:27 a.m.
Created at: April 10, 2026, 3:02 a.m.