Triple

T1615113
Position Surface form Disambiguated ID Type / Status
Subject Tamaulipas E34698 entity
Predicate containsCity P294 FINISHED
Object Matamoros E159725 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: Matamoros | Statement: [Tamaulipas, containsCity, Matamoros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matamoros
Context triple: [Tamaulipas, containsCity, Matamoros]
  • A. Matamoros chosen
    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.
  • B. Reynosa
    Reynosa is a major industrial and border city in northeastern Mexico, located across the Rio Grande from McAllen, Texas.
  • C. Nuevo Laredo
    Nuevo Laredo is a major Mexican border city in the state of Tamaulipas, located across the Rio Grande from Laredo, Texas, and serving as an important hub for international trade and transportation.
  • D. Ciudad Juárez
    Ciudad Juárez is a major industrial and border city in northern Mexico, located across the Rio Grande from El Paso, Texas.
  • E. Ciudad Obregón
    Ciudad Obregón is a major agricultural and industrial city in the state of Sonora, Mexico, known for its role in the development of modern irrigation and wheat production in the Yaqui Valley.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098f384c81909ef836ee779466e2 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc98fb2288190aeae9e48c146658f completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:28 p.m.