Triple

T10345558
Position Surface form Disambiguated ID Type / Status
Subject Mexican Federal Highway 85 E243734 entity
Predicate connectsCity P4245 FINISHED
Object Nuevo Laredo E62214 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: Nuevo Laredo | Statement: [Mexican Federal Highway 85, connectsCity, Nuevo Laredo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuevo Laredo
Context triple: [Mexican Federal Highway 85, connectsCity, Nuevo Laredo]
  • A. Nuevo Laredo chosen
    Nuevo Laredo is a major Mexican border city in the state of Tamaulipas, located across the Rio Grande from Laredo, Texas, and serving as an important hub for international trade and transportation.
  • B. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • C. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • D. Laredo, Texas
    Laredo, Texas is a major city on the U.S.–Mexico border and a key international trade hub located along the Rio Grande in southern Texas.
  • E. Ciudad Madero
    Ciudad Madero is a coastal city in the Mexican state of Tamaulipas, known for its oil industry and popular Gulf of Mexico beaches such as Playa Miramar.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e923e3d08190971073ce41ff860f completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b1d5b388190841ed0df2145ad7a completed April 10, 2026, 9:26 p.m.
Created at: April 6, 2026, 11:56 a.m.