Triple

T21403935
Position Surface form Disambiguated ID Type / Status
Subject Valle de Toluca E527981 entity
Predicate contains P35 FINISHED
Object Calimaya NE NERFINISHED

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: Calimaya | Statement: [Valle de Toluca, contains, Calimaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calimaya
Context triple: [Valle de Toluca, contains, Calimaya]
  • A. Calimaya chosen
    Calimaya is a municipality in the State of Mexico known for its rural landscapes, agricultural activities, and proximity to the city of Toluca.
  • B. Dzibilchaltún
    Dzibilchaltún is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its Temple of the Seven Dolls and precise solar alignments during the equinoxes.
  • C. Uxmal
    Uxmal is a major ancient Maya city in present-day Mexico, renowned for its well-preserved Puuc-style architecture and impressive pyramids and palaces.
  • D. Topoxte
    Topoxte is an ancient Maya archaeological site located on an island in Lake Yaxhá in northern Guatemala.
  • E. Palenque
    Palenque is an ancient Maya city in modern-day Chiapas, Mexico, renowned for its well-preserved temples, palaces, and intricate inscriptions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1729eb48190a4ea48bf1f158a37 completed April 22, 2026, 11:30 a.m.
Created at: April 16, 2026, 5:28 p.m.