Triple

T11195088
Position Surface form Disambiguated ID Type / Status
Subject Lake Cuitzeo E264901 entity
Predicate near P350 FINISHED
Object Morelia E194084 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: Morelia | Statement: [Lake Cuitzeo, near, Morelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morelia
Context triple: [Lake Cuitzeo, near, Morelia]
  • A. Morelia chosen
    Morelia is the capital city of the Mexican state of Michoacán, known for its well-preserved colonial architecture and historic city center, a UNESCO World Heritage Site.
  • B. Morelia
    Morelia is a small municipality and town located in the Caquetá Department of southern Colombia, known for its Amazonian rainforest environment and agricultural activities.
  • C. Morelia
    Morelia is a genus of non-venomous pythons native primarily to Australia and New Guinea, known for species such as carpet and green tree pythons.
  • D. Toluca
    Toluca is a major city and the capital of the State of Mexico, known for its high altitude, industrial activity, and proximity to the Nevado de Toluca volcano.
  • E. San Luis Potosí City
    San Luis Potosí City is the capital of the Mexican state of San Luis Potosí, known for its colonial architecture, mining history, and role as a cultural and economic center in north-central Mexico.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8bf14e481908563b15790af4d20 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f470cbce14819099d47d468ae61df7 completed May 1, 2026, 9:22 a.m.
Created at: April 8, 2026, 9:29 p.m.