Triple

T21803267
Position Surface form Disambiguated ID Type / Status
Subject Grupo Xcaret E538287 entity
Predicate brand P1500 FINISHED
Object Xplor Fuego NE NERFINISHED

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: Xplor Fuego | Statement: [Grupo Xcaret, brand, Xplor Fuego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xplor Fuego
Context triple: [Grupo Xcaret, brand, Xplor Fuego]
  • A. Xplor Fuego chosen
    Xplor Fuego is the nighttime adventure version of Mexico’s Xplor Park, offering illuminated zip-lines, underground rivers, and other adrenaline-filled activities after dark.
  • B. Xplor
    Xplor is an adventure theme park in Mexico’s Riviera Maya known for its zip-lines, underground rivers, and other outdoor adrenaline activities.
  • C. Etrek
    Etrek is a town in the Balkan Region of southwestern Turkmenistan, near the border with Iran.
  • D. Camané
    Camané is a renowned contemporary Portuguese fado singer celebrated for his expressive voice and for helping to revitalize the genre in the late 20th century.
  • E. Trevelin
    Trevelin is a small town in Argentina’s Chubut Province, known for its Welsh heritage, scenic Andean landscapes, and proximity to Los Alerces National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0780126e88190a93dd8d0519eb8fc completed April 28, 2026, 9:04 a.m.
Created at: April 16, 2026, 6:53 p.m.