Triple

T1998539
Position Surface form Disambiguated ID Type / Status
Subject Siete Leyes E43411 entity
Predicate inspiredOppositionIn P21876 FINISHED
Object Yucatán E7456 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: [Siete Leyes, inspiredOppositionIn, Yucatán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yucatán
Context triple: [Siete Leyes, inspiredOppositionIn, Yucatán]
  • A. 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.
  • B. Yucatán Peninsula chosen
    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.
  • C. 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.
  • D. Veracruz
    Veracruz is a coastal state in eastern Mexico on the Gulf of Mexico, known for its major port city, rich colonial and indigenous history, and diverse geography ranging from tropical lowlands to high mountains.
  • E. Chiapas
    Chiapas is a southern Mexican state known for its rich indigenous cultures, Mayan archaeological sites like Palenque, and diverse natural landscapes including jungles and highlands.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbdbe35688190ab99620859e071c6 completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95eb4db481909ab7507147f1d674 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:37 p.m.