Triple

T359682
Position Surface form Disambiguated ID Type / Status
Subject U.S.–Mexico border E7820 entity
Predicate adjacentTo P224 FINISHED
Object Chihuahua E14995 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: Chihuahua | Statement: [U.S.–Mexico border, adjacentTo, Chihuahua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chihuahua
Context triple: [U.S.–Mexico border, adjacentTo, Chihuahua]
  • A. Chihuahua chosen
    Chihuahua is Mexico’s largest state by area, known for its desert landscapes, rugged mountain ranges, and significant role in the country’s history and industry.
  • B. Husky
    Husky was the codename for the World War II Allied amphibious and airborne invasion of Sicily in July 1943, which marked a major step in the campaign to liberate Europe from Axis control.
  • C. Canino
    Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
  • D. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • E. Labrador
    Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebb248608190b060553219616043 completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e578c1788190877cf6a346cf10d4 completed March 1, 2026, 7:06 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.