Triple

T5445818
Position Surface form Disambiguated ID Type / Status
Subject Riviera Maya E122245 entity
Predicate hasResortArea P10436 FINISHED
Object Tulum E48359 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: Tulum | Statement: [Riviera Maya, hasResortArea, Tulum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulum
Context triple: [Riviera Maya, hasResortArea, Tulum]
  • A. Tulum chosen
    Tulum is a coastal town in Mexico’s Yucatán Peninsula best known for its well-preserved Mayan ruins perched on cliffs overlooking the Caribbean Sea and its popular beaches and resorts.
  • B. Tulum Valley
    Tulum Valley is a prominent viticultural and agricultural region in the province of San Juan, Argentina, known for its wine production and arid, sun-drenched landscape.
  • C. Playa del Carmen, Mexico
    Playa del Carmen, Mexico is a popular Caribbean coastal resort city on the Riviera Maya known for its beaches, tourism, and role as a venue for major regional and international events.
  • 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. Puerto Escondido
    Puerto Escondido is a coastal town and popular surfing and beach tourism destination on Mexico’s Pacific coast in the state of Oaxaca.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91cf5d488190868ffefad02c7a04 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c5c053c8190a53df1b6b5088aab completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:07 p.m.