Triple

T10343876
Position Surface form Disambiguated ID Type / Status
Subject Del Rio E243692 entity
Predicate borderWith P224 FINISHED
Object Coahuila, Mexico E33682 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: Coahuila, Mexico | Statement: [Del Rio, borderWith, Coahuila, Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coahuila, Mexico
Context triple: [Del Rio, borderWith, Coahuila, Mexico]
  • A. Coahuila chosen
    Coahuila is a large, mostly arid state in northeastern Mexico known for its desert landscapes, mountain ranges, and significant industrial and mining activities.
  • B. Mexico State
    Mexico State is a federal entity in central Mexico that surrounds most of Mexico City and is one of the country’s most populous and industrially important states.
  • C. Tamaulipas
    Tamaulipas is a northeastern Mexican state along the Gulf of Mexico, known for its coastal plains, agricultural production, and diverse landscapes shaped in part by the Sierra Madre Oriental.
  • D. Hidalgo (state)
    Hidalgo is a landlocked state in central-eastern Mexico known for its mining history, indigenous Otomí and Nahua cultures, and archaeological sites such as Tula.
  • E. Nayarit
    Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94aec37288190bd9060ba39ec4df2 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:55 a.m.