Triple

T10345487
Position Surface form Disambiguated ID Type / Status
Subject World Trade International Bridge E243733 entity
Predicate connects P390 FINISHED
Object Laredo, Texas E121196 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: Laredo, Texas | Statement: [World Trade International Bridge, connects, Laredo, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laredo, Texas
Context triple: [World Trade International Bridge, connects, Laredo, Texas]
  • A. Laredo, Texas chosen
    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.
  • B. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • C. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • D. Eagle Pass, Texas
    Eagle Pass, Texas is a U.S. border city on the Rio Grande known as a major crossing point and twin city to Piedras Negras, Coahuila, Mexico.
  • E. Nuevo Laredo
    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.
  • 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_69d79513ea3081908fee1a404f950be5 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:56 a.m.