Triple

T22770261
Position Surface form Disambiguated ID Type / Status
Subject College of Education (Texas A&M International University) E563535 entity
Predicate city P40 FINISHED
Object Laredo NE NERFINISHED

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 | Statement: [College of Education (Texas A&M International University), city, Laredo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laredo
Context triple: [College of Education (Texas A&M International University), city, Laredo]
  • A. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • 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, 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.
  • D. El Paso
    El Paso is a municipality on the Spanish island of La Palma in the Canary Islands, known for its volcanic landscapes and proximity to the Cumbre Vieja ridge.
  • E. El Paso
    El Paso is a large border city in far western Texas known for its strong cultural ties with Mexico and its role as a major economic and transportation hub in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b5cea44819097290351da9c488d completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.