Triple

T7337632
Position Surface form Disambiguated ID Type / Status
Subject Tuxpan, Veracruz, Mexico E169168 entity
Predicate hasMouthOf P1008 FINISHED
Object Tuxpan River E673253 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: Tuxpan River | Statement: [Tuxpan, Veracruz, Mexico, hasMouthOf, Tuxpan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuxpan River
Context triple: [Tuxpan, Veracruz, Mexico, hasMouthOf, Tuxpan River]
  • A. Tuxpan River chosen
    The Tuxpan River is a significant waterway in the Mexican state of Veracruz that flows into the Gulf of Mexico and supports regional transportation, fishing, and agriculture.
  • B. Tecolutla River
    The Tecolutla River is a coastal river in the Mexican state of Veracruz known for its tropical lowland course and importance to local agriculture, fishing, and ecotourism.
  • C. Mocorito River
    The Mocorito River is a waterway in the state of Sinaloa, Mexico, that supports local agriculture and communities along its course.
  • D. Lozoya River
    The Lozoya River is a mountain river in central Spain that flows through the Sierra de Guadarrama and supplies water to the Madrid region.
  • E. Río Acaponeta
    Río Acaponeta is a river in western Mexico that flows through the state of Nayarit before emptying into the Gulf of California.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0d599c88190875514eae7084f8d completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86130228c819098544e5354c31b44 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:04 p.m.