Triple

T2181222
Position Surface form Disambiguated ID Type / Status
Subject Cobá E49046 entity
Predicate connectedTo P37 FINISHED
Object Yaxuná E241359 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: Yaxuná | Statement: [Cobá, connectedTo, Yaxuná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaxuná
Context triple: [Cobá, connectedTo, Yaxuná]
  • A. Yaxuná chosen
    Yaxuná is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, notable for its long history of occupation and its strategic position within a network of pre-Hispanic causeways.
  • B. Amatlán de Cañas
    Amatlán de Cañas is a small municipality and town in the southern part of the Mexican state of Nayarit, known for its mountainous terrain, hot springs, and traditional rural character.
  • C. San Juan Ixtayopan
    San Juan Ixtayopan is a town within the Tláhuac borough of Mexico City, known for its traditional rural character and local festivities.
  • D. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • E. Ahuacatlán
    Ahuacatlán is a municipality and town in the Mexican state of Nayarit, known for its agricultural production and traditional regional culture.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef1f8c0819084da6002035bbf93 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653de18481909c3521e060540a38 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.