Triple

T239272
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca E4891 entity
Predicate contains P35 FINISHED
Object La Mesa
La Mesa is a municipality in the Cundinamarca Department of Colombia, known for its mild climate and agricultural production.
E31998 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: La Mesa | Statement: [Cundinamarca, contains, La Mesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Mesa
Context triple: [Cundinamarca, contains, La Mesa]
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Hidalgo
    Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
  • C. Quivicán
    Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
  • D. Muspilli
    Muspilli is an Old High German eschatological poem that vividly depicts the Last Judgment and the end of the world.
  • E. Teos
    Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
  • 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: La Mesa
Triple: [Cundinamarca, contains, La Mesa]
Generated description
La Mesa is a municipality in the Cundinamarca Department of Colombia, known for its mild climate and agricultural production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Mesa
Target entity description: La Mesa is a municipality in the Cundinamarca Department of Colombia, known for its mild climate and agricultural production.
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Hidalgo
    Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
  • C. Quivicán
    Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
  • D. Muspilli
    Muspilli is an Old High German eschatological poem that vividly depicts the Last Judgment and the end of the world.
  • E. Teos
    Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf0474c8190834287d57cea7582 completed Feb. 28, 2026, 10:32 p.m.
NEDg Description generation batch_69a36d9181d081909186f41c628cf8a7 completed Feb. 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69a372d67da081908f05d7d370929073 completed Feb. 28, 2026, 10:57 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.