Triple

T9492451
Position Surface form Disambiguated ID Type / Status
Subject University of Guanajuato E228922 entity
Predicate memberOf P10 FINISHED
Object CUMEX
CUMEX is a consortium of high-quality Mexican universities focused on promoting academic excellence, research, and institutional improvement in higher education.
 E801898 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: CUMEX | Statement: [University of Guanajuato, memberOf, CUMEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUMEX
Context triple: [University of Guanajuato, memberOf, CUMEX]
  • A. CZUM
    CZUM is the ICAO airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • B. Emex
    Emex is a small genus of flowering plants in the knotweed family Polygonaceae, commonly known for weedy species such as Emex spinosa (spiny emex) found in disturbed and agricultural areas.
  • C. CUZ
    CUZ is the IATA airport code for Alejandro Velasco Astete International Airport serving Cusco, Peru.
  • D. COMESSA
    COMESSA is the French acronym for the Community of Sahel-Saharan States, a regional organization focused on economic integration and cooperation among countries in the Sahel and Sahara regions of Africa.
  • E. Atenco
    Atenco is a municipality in the State of Mexico known for its rural communities and prominent social movements, particularly those opposing large-scale infrastructure projects.
  • 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: CUMEX
Triple: [University of Guanajuato, memberOf, CUMEX]
Generated description
CUMEX is a consortium of high-quality Mexican universities focused on promoting academic excellence, research, and institutional improvement in higher education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUMEX
Target entity description: CUMEX is a consortium of high-quality Mexican universities focused on promoting academic excellence, research, and institutional improvement in higher education.
  • A. CZUM
    CZUM is the ICAO airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • B. Emex
    Emex is a small genus of flowering plants in the knotweed family Polygonaceae, commonly known for weedy species such as Emex spinosa (spiny emex) found in disturbed and agricultural areas.
  • C. CUZ
    CUZ is the IATA airport code for Alejandro Velasco Astete International Airport serving Cusco, Peru.
  • D. COMESSA
    COMESSA is the French acronym for the Community of Sahel-Saharan States, a regional organization focused on economic integration and cooperation among countries in the Sahel and Sahara regions of Africa.
  • E. Atenco
    Atenco is a municipality in the State of Mexico known for its rural communities and prominent social movements, particularly those opposing large-scale infrastructure projects.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80ca26bc819084add20027aea4a5 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d27c0808190baf5ae04a1b915bb completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12da44d7c8190afb11ae3009a79e5 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e1459348190aed583b2364a53dd completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:56 p.m.