Triple

T13628327
Position Surface form Disambiguated ID Type / Status
Subject Oaxaca (state) E325645 entity
Predicate hasCity P316 FINISHED
Object Puerto Escondido E53192 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: Puerto Escondido | Statement: [Oaxaca (state), hasCity, Puerto Escondido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Escondido
Context triple: [Oaxaca (state), hasCity, Puerto Escondido]
  • A. Puerto Escondido
    Puerto Escondido is a small coastal settlement in the Mexican state of Baja California Sur, known for its tranquil seaside setting within the municipality of Loreto.
  • B. Puerto Escondido chosen
    Puerto Escondido is a coastal town and popular surfing and beach tourism destination on Mexico’s Pacific coast in the state of Oaxaca.
  • C. Akumal
    Akumal is a coastal town on Mexico’s Riviera Maya known for its tranquil beaches, coral reefs, and sea turtle snorkeling.
  • D. 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.
  • E. Ixtapa-Zihuatanejo
    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.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa895f081908f72a0746afeabed completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.