Triple

T10290955
Position Surface form Disambiguated ID Type / Status
Subject Grupo Nohoch Mul E241361 entity
Predicate partOf P40 FINISHED
Object Cobá E49046 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: Cobá | Statement: [Grupo Nohoch Mul, partOf, Cobá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobá
Context triple: [Grupo Nohoch Mul, partOf, Cobá]
  • A. Cobá chosen
    Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
  • B. Comalcalco
    Comalcalco is a city in the Mexican state of Tabasco known for its nearby Maya archaeological site built with brick structures.
  • C. Nojpetén
    Nojpetén was the last independent Maya capital city, located on an island in Lake Petén Itzá in present-day Guatemala.
  • D. Coacalco
    Coacalco is a suburban municipality in the State of Mexico that forms part of the greater Mexico City metropolitan area.
  • E. Xilitla
    Xilitla is a picturesque town in the Huasteca region of San Luis Potosí, Mexico, known for its lush mountainous landscape and its association with surrealist art and 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d281348190bac00cf826689cd7 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbf4685881908cc2ade858b673aa completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 11:41 a.m.