Triple

T15748565
Position Surface form Disambiguated ID Type / Status
Subject MTS E381786 entity
Predicate cityServed 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: [MTS, cityServed, La Mesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Mesa
Context triple: [MTS, cityServed, 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. La Mesa
    La Mesa is a neighborhood and administrative borough within the Mexican border city of Tijuana, known for its urban residential and commercial areas.
  • D. 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.
  • E. La Solana
    La Solana is a Spanish town and municipality located in the autonomous community of Castilla-La Mancha, known for its agricultural economy and traditional La Mancha culture.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830b85408190b9ae4d6752524b99 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.