Triple

T22640578
Position Surface form Disambiguated ID Type / Status
Subject Mexican Federal Highway 80 E558812 entity
Predicate connectsCity P4245 FINISHED
Object Tampico 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: Tampico | Statement: [Mexican Federal Highway 80, connectsCity, Tampico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampico
Context triple: [Mexican Federal Highway 80, connectsCity, Tampico]
  • A. Tampico
    Tampico is a small village in Illinois best known as the birthplace of U.S. President Ronald Reagan.
  • B. Tampico, Mexico chosen
    Tampico, Mexico is a major port city on the Gulf of Mexico in the state of Tamaulipas, known historically for its oil industry and commercial significance.
  • C. Boca del Río
    Boca del Río is a coastal city in the Mexican state of Veracruz known for its beaches, tourism, and commercial development along the Gulf of Mexico.
  • D. Puerto Juárez
    Puerto Juárez is a coastal locality and ferry port near Cancún in Quintana Roo, Mexico, serving as a gateway to nearby islands such as Isla Mujeres.
  • E. Tampico Madero
    Tampico Madero is a Mexican professional football club traditionally based in the port city of Tampico, Tamaulipas.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170116fe881908178cffef26e3ae7 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.