Triple

T2362621
Position Surface form Disambiguated ID Type / Status
Subject Macroplaza E47308 entity
Predicate locatedIn P40 FINISHED
Object Nuevo León E34088 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: Nuevo León | Statement: [Macroplaza, locatedIn, Nuevo León]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuevo León
Context triple: [Macroplaza, locatedIn, Nuevo León]
  • A. Nuevo León chosen
    Nuevo León is a northeastern Mexican state known for its mountainous terrain, industrial powerhouse capital Monterrey, and significant role in the country’s economic development.
  • B. 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.
  • C. Coahuila
    Coahuila is a large, mostly arid state in northeastern Mexico known for its desert landscapes, mountain ranges, and significant industrial and mining activities.
  • D. Coahuila y Tejas
    Coahuila y Tejas was a Mexican state in the early 19th century that combined the regions of Coahuila and Texas before Texas’s independence and the formation of the Republic of Texas.
  • E. San Luis Potosí
    San Luis Potosí is a central Mexican state known for its diverse landscapes—from the arid high plateau to the lush Huasteca region—rich mining history, and colonial-era architecture.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc74501388190adce9b3e51a03ded completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf2eb7a88190b421df42acbd974b completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:55 p.m.