Triple

T1224600
Position Surface form Disambiguated ID Type / Status
Subject San Diego County E26297 entity
Predicate contains P35 FINISHED
Object La Mesa
La Mesa is a suburban city in Southern California known for its historic downtown village, community events, and proximity to San Diego.
E139383 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: [San Diego County, contains, La Mesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Mesa
Context triple: [San Diego County, contains, La Mesa]
  • A. La Mesa
    La Mesa is a municipality in the Cundinamarca Department of Colombia, known for its mild climate and agricultural production.
  • B. Mesa del Norte
    Mesa del Norte is a high, arid plateau region in northern Mexico that forms part of the country’s broader Mexican Plateau.
  • C. Wanka
    Wanka is a song featured on the album "Legend of the Sun Virgin" by New Zealand singer-songwriter Bic Runga.
  • D. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • E. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • 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: [San Diego County, contains, La Mesa]
Generated description
La Mesa is a suburban city in Southern California known for its historic downtown village, community events, and proximity to San Diego.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Mesa
Target entity description: La Mesa is a suburban city in Southern California known for its historic downtown village, community events, and proximity to San Diego.
  • A. La Mesa
    La Mesa is a municipality in the Cundinamarca Department of Colombia, known for its mild climate and agricultural production.
  • B. Mesa del Norte
    Mesa del Norte is a high, arid plateau region in northern Mexico that forms part of the country’s broader Mexican Plateau.
  • C. Wanka
    Wanka is a song featured on the album "Legend of the Sun Virgin" by New Zealand singer-songwriter Bic Runga.
  • D. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • E. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be382c4081909238c18b805352a7 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac832704c08190a1a73ebd90fa91b8 completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac83add3608190be198ba153721d5c completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac846e724081909696c8c44f2f9500 completed March 7, 2026, 8:02 p.m.
Created at: March 1, 2026, 7:47 p.m.