Triple

T16616699
Position Surface form Disambiguated ID Type / Status
Subject Cocom Maya E403713 entity
Predicate locatedIn P40 FINISHED
Object Yucatán E263405 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: Yucatán | Statement: [Cocom Maya, locatedIn, Yucatán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yucatán
Context triple: [Cocom Maya, locatedIn, Yucatán]
  • A. Yucatán state chosen
    Yucatán state is a region in southeastern Mexico known for its rich Mayan heritage, cenotes, colonial cities, and diverse natural reserves along the Gulf of Mexico.
  • B. Quintana Roo
    Quintana Roo is a Mexican state on the Caribbean coast known for major tourist destinations such as Cancún, Playa del Carmen, and Tulum.
  • C. Yucatán Peninsula
    The Yucatán Peninsula is a large landmass in southeastern Mexico extending into the Caribbean, known for its Maya archaeological sites, cenotes, and tropical coastal ecosystems.
  • D. Campeche state
    Campeche state is a coastal state in southeastern Mexico on the Yucatán Peninsula, known for its Gulf of Mexico shoreline, Mayan archaeological sites, and extensive protected natural areas.
  • E. Campeche
    Campeche is a historic coastal city in southeastern Mexico known for its well-preserved colonial fortifications and colorful architecture on the Gulf of 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b40c288190afda6c7643b61e85 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.