Triple

T5032092
Position Surface form Disambiguated ID Type / Status
Subject Mexican Federal Highway 85D E113329 entity
Predicate connectsTo P845 FINISHED
Object Tampico area 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 area | Statement: [Mexican Federal Highway 85D, connectsTo, Tampico area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampico area
Context triple: [Mexican Federal Highway 85D, connectsTo, Tampico area]
  • A. 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.
  • B. Tampico
    Tampico is a small village in Illinois best known as the birthplace of U.S. President Ronald Reagan.
  • C. Tampico Municipality
    Tampico Municipality is an administrative division in the state of Tamaulipas, Mexico, encompassing the city of Tampico and its surrounding areas.
  • D. 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.
  • E. Reynosa
    Reynosa is a major industrial and border city in northeastern Mexico, located across the Rio Grande from McAllen, Texas.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b4d1708190aa1fa63104555f8a completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6df1b88190ad61c87a28312957 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:36 p.m.