Triple

T15647228
Position Surface form Disambiguated ID Type / Status
Subject C.F. Tampico Madero E376212 entity
Predicate represents P129 FINISHED
Object Tampico E81128 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: Tampico | Statement: [C.F. Tampico Madero, represents, Tampico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampico
Context triple: [C.F. Tampico Madero, represents, 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. Port of Veracruz
    The Port of Veracruz is one of Mexico’s oldest and most important seaports, serving as a key hub for international trade on the Gulf of Mexico.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed4d9f88190b7e24bf84c5a916f completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:15 a.m.