Triple

T1689148
Position Surface form Disambiguated ID Type / Status
Subject Petorca Province E36510 entity
Predicate hasSettlement P1068 FINISHED
Object Papudo E191394 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: Papudo | Statement: [Petorca Province, hasSettlement, Papudo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Papudo
Context triple: [Petorca Province, hasSettlement, Papudo]
  • A. Papudo chosen
    Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
  • B. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • C. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • D. Papagos
    Papagos is a Greek surname most notably associated with Alexandros Papagos, a prominent Greek general and post–World War II prime minister.
  • E. Ataypura
    "Ataypura" is a traditional Peruvian song best known internationally through Yma Sumac’s iconic vocal performance, showcasing Andean melodies and extraordinary vocal range.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6296655c8190835ec0d20f7460ca completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac6cc88819086821026a37a3578 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.