Triple

T13429536
Position Surface form Disambiguated ID Type / Status
Subject Windsor E313570 entity
Predicate hasTwinCity P1072 FINISHED
Object Saltillo E190199 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: Saltillo | Statement: [Windsor, hasTwinCity, Saltillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saltillo
Context triple: [Windsor, hasTwinCity, Saltillo]
  • A. Saltillo chosen
    Saltillo is the capital and largest city of the state of Coahuila in northeastern Mexico, known for its industrial economy and traditional sarape textiles.
  • B. Ciudad Acuña
    Ciudad Acuña is a Mexican border city in Coahuila, known for its location across from Del Rio, Texas, and for serving as the primary filming location of Robert Rodriguez’s film "El Mariachi."
  • C. 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.
  • D. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • E. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed304ac8190a8021f749de8164c completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d37b9988190b8f830fb52586340 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:40 p.m.