Triple

T3845477
Position Surface form Disambiguated ID Type / Status
Subject Huixquilucan E93558 entity
Predicate borderedBy P224 FINISHED
Object Lerma E90176 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: Lerma | Statement: [Huixquilucan, borderedBy, Lerma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerma
Context triple: [Huixquilucan, borderedBy, Lerma]
  • A. Lerma chosen
    Lerma is a municipality in the State of Mexico, west of Mexico City, known for its industrial zones, residential developments, and proximity to major transportation routes.
  • B. Soto del Henares
    Soto del Henares is a protected natural area along the Jarama River in central Spain, known for its riparian ecosystems and local biodiversity.
  • C. Valle del Lozoya
    Valle del Lozoya is a scenic highland valley in central Spain known for its rivers, forests, and traditional mountain villages within the Sierra de Guadarrama.
  • D. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • E. Río Almendares
    Río Almendares is a major river in Havana, Cuba, known for flowing through the city and forming part of its western boundary before reaching the coast.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb77a488190be7fc2a1211f1f2d completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5122eb2708190b1aa9da233481015 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:18 p.m.