Triple

T3710095
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Transit System E80988 entity
Predicate areaServed P82 FINISHED
Object La Mesa E139383 NE FINISHED

How this triple was built (2 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: [Metropolitan Transit System, areaServed, La Mesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Mesa
Context triple: [Metropolitan Transit System, areaServed, 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. La Mesa chosen
    La Mesa is a suburban city in Southern California known for its historic downtown village, community events, and proximity to San Diego.
  • C. Congress of the State of Mexico
    The Congress of the State of Mexico is the unicameral legislative body responsible for creating state laws, overseeing the executive, and representing the municipalities within the State of Mexico in Mexico’s federal system.
  • D. Choachí
    Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • E. Navojoa
    Navojoa is a city in the southern part of the state of Sonora, Mexico, known as an agricultural and commercial center in the Mayo River valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc584b86c8190ba1a1073da440b07 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce052660819089ad899a20b8a720 completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:33 p.m.