Triple

T10713811
Position Surface form Disambiguated ID Type / Status
Subject Zihuatanejo E252608 entity
Predicate near P350 FINISHED
Object Ixtapa E249550 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: Ixtapa | Statement: [Zihuatanejo, near, Ixtapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ixtapa
Context triple: [Zihuatanejo, near, Ixtapa]
  • A. Ixtapa-Zihuatanejo chosen
    Ixtapa-Zihuatanejo is a popular Pacific coast resort area in the Mexican state of Guerrero, known for its beaches, fishing, and blend of modern tourist infrastructure with a traditional seaside town.
  • B. Akumal
    Akumal is a coastal town on Mexico’s Riviera Maya known for its tranquil beaches, coral reefs, and sea turtle snorkeling.
  • C. Huatulco
    Huatulco is a coastal resort town on Mexico’s Pacific coast, renowned for its nine picturesque bays, sandy beaches, and eco-friendly tourism.
  • D. 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.
  • E. Puerto Morelos
    Puerto Morelos is a laid-back coastal town on Mexico’s Caribbean coast known for its tranquil beaches, coral reef snorkeling, and more relaxed atmosphere than larger Riviera Maya resorts.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe54465081909640f6d7a2314fcb completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9df306881908aef5c6e8b4e78dc completed April 12, 2026, 5:43 p.m.
Created at: April 8, 2026, 9:13 p.m.