Triple

T5716716
Position Surface form Disambiguated ID Type / Status
Subject Xel-Há Park E126040 entity
Predicate operatedBy P86 FINISHED
Object Grupo Xcaret E538287 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: Grupo Xcaret | Statement: [Xel-Há Park, operatedBy, Grupo Xcaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grupo Xcaret
Context triple: [Xel-Há Park, operatedBy, Grupo Xcaret]
  • A. Grupo Xcaret chosen
    Grupo Xcaret is a Mexican tourism and entertainment company best known for operating eco-archaeological theme parks and resorts in the Riviera Maya region.
  • B. Xcaret Park
    Xcaret Park is a popular eco-archaeological theme park in Mexico’s Riviera Maya that combines natural attractions, cultural performances, and water-based activities.
  • C. Xel-Há Park
    Xel-Há Park is a popular eco-archaeological aquatic theme park on Mexico’s Riviera Maya, known for its natural inlet, snorkeling, and all-inclusive outdoor activities.
  • D. Huatulco
    Huatulco is a coastal resort town on Mexico’s Pacific coast, renowned for its nine picturesque bays, sandy beaches, and eco-friendly tourism.
  • E. Akumal
    Akumal is a coastal town on Mexico’s Riviera Maya known for its tranquil beaches, coral reefs, and sea turtle snorkeling.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024ba819c8190bb7d775405dda9d6 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0b3412c8190a4b97863e060e928 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:46 p.m.