Triple

T16830463
Position Surface form Disambiguated ID Type / Status
Subject Playa Mansa E409134 entity
Predicate locatedIn P40 FINISHED
Object Punta del Este E84152 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: Punta del Este | Statement: [Playa Mansa, locatedIn, Punta del Este]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punta del Este
Context triple: [Playa Mansa, locatedIn, Punta del Este]
  • A. Punta del Este chosen
    Punta del Este is a famous Uruguayan beach resort city known for its tourism, luxury lifestyle, and international conferences.
  • B. Marina del Este
    Marina del Este is a marina and leisure harbor on Spain’s Costa Tropical, known for its sheltered location, yacht moorings, and diving spots near Almuñécar in Granada.
  • C. Mar del Plata
    Mar del Plata is a major Argentine Atlantic coastal city renowned as a popular beach resort and tourist destination.
  • D. Colonia del Sacramento
    Colonia del Sacramento is a historic Uruguayan city famed for its well-preserved colonial quarter, a UNESCO World Heritage Site that reflects a blend of Portuguese and Spanish architectural influences.
  • E. Búzios
    Búzios is a popular Brazilian coastal resort town on the Atlantic Ocean, known for its beaches, nightlife, and upscale tourism.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b316acc881909c686add53d72388 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a2a5348190b14af8ab88a281b7 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.