Triple

T13367493
Position Surface form Disambiguated ID Type / Status
Subject Instituto Tecnológico de Ciudad Madero E318976 entity
Predicate locatedIn P40 FINISHED
Object Ciudad Madero E330393 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: Ciudad Madero | Statement: [Instituto Tecnológico de Ciudad Madero, locatedIn, Ciudad Madero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Madero
Context triple: [Instituto Tecnológico de Ciudad Madero, locatedIn, Ciudad Madero]
  • A. Ciudad Madero chosen
    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.
  • 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. Saltillo
    Saltillo is the capital and largest city of the state of Coahuila in northeastern Mexico, known for its industrial economy and traditional sarape textiles.
  • D. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • E. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942242cc8190aa94efae75370328 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:32 p.m.