Triple

T11403531
Position Surface form Disambiguated ID Type / Status
Subject Mexican Federal Highway 15 E270175 entity
Predicate servesCity P82 FINISHED
Object Nogales E168612 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: Nogales | Statement: [Mexican Federal Highway 15, servesCity, Nogales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogales
Context triple: [Mexican Federal Highway 15, servesCity, Nogales]
  • A. Nogales
    Nogales is a Chilean municipality located in the Province of Quillota in the Valparaíso Region.
  • B. Nogales
    Nogales is a municipality and town in the state of Veracruz, Mexico, known for its mountainous terrain and role as part of the Orizaba metropolitan area.
  • C. Nogales
    Nogales is a small municipality in the Tierra de Barros comarca of the province of Badajoz, in the autonomous community of Extremadura, Spain.
  • D. Nogales, Arizona
    Nogales, Arizona is a U.S.–Mexico border city in southern Arizona known as a major port of entry and hub for international trade and cross-border culture.
  • E. Nogales, Sonora chosen
    Nogales, Sonora is a major Mexican border city in the state of Sonora, located directly across from Nogales, Arizona, and serving as an important commercial and transportation gateway between Mexico and the United States.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014ab46881909fa1d425926c617b completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7580c508190a81eadd9015c75ef completed April 21, 2026, 2:56 a.m.
Created at: April 8, 2026, 9:34 p.m.