Triple

T10134449
Position Surface form Disambiguated ID Type / Status
Subject South Texas Plains E226820 entity
Predicate containsCity P294 FINISHED
Object Laredo 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 | Statement: [South Texas Plains, containsCity, Laredo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laredo
Context triple: [South Texas Plains, containsCity, Laredo]
  • A. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • 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, 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 (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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde87e1f908190a53865420f2b8f93 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ab35a508190a8eb1977e19ab8c5 completed April 6, 2026, 3:38 a.m.
Created at: March 30, 2026, 9:06 p.m.