Triple

T1615111
Position Surface form Disambiguated ID Type / Status
Subject Tamaulipas E34698 entity
Predicate containsCity P294 FINISHED
Object Reynosa E185514 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: Reynosa | Statement: [Tamaulipas, containsCity, Reynosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reynosa
Context triple: [Tamaulipas, containsCity, Reynosa]
  • A. Reynosa chosen
    Reynosa is a major industrial and border city in northeastern Mexico, located across the Rio Grande from McAllen, Texas.
  • B. 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.
  • 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. Edinburg
    Edinburg is a small rural town in Saratoga County, New York, known for its scenic setting near the Great Sacandaga Lake and the southern Adirondacks.
  • E. 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.
  • 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_69adb5b50efc8190a89388dcd7cb13aa completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:28 p.m.