Triple

T4917421
Position Surface form Disambiguated ID Type / Status
Subject Gulf Coast of Mexico E110381 entity
Predicate hasMajorCity P316 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: [Gulf Coast of Mexico, hasMajorCity, Tampico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampico
Context triple: [Gulf Coast of Mexico, hasMajorCity, 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. 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.
  • D. Minatitlán
    Minatitlán is an industrial city in the Mexican state of Veracruz, known for its major oil refinery and strategic location in the petroleum industry.
  • E. Matamoros
    Matamoros is a Mexican border city in the state of Tamaulipas, located directly across the Rio Grande from Brownsville, Texas, and known as an important hub for trade and manufacturing.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff19f508190902b77b9ca1e5ab6 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.