Triple

T4049670
Position Surface form Disambiguated ID Type / Status
Subject Punta del Este E84152 entity
Predicate hasPort P35 FINISHED
Object Punta del Este Port 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 Port | Statement: [Punta del Este, hasPort, Punta del Este Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punta del Este Port
Context triple: [Punta del Este, hasPort, Punta del Este Port]
  • A. Port of Montevideo
    The Port of Montevideo is Uruguay’s principal seaport and a major South Atlantic maritime hub for cargo, logistics, and regional trade.
  • 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. Punta del Este chosen
    Punta del Este is a famous Uruguayan beach resort city known for its tourism, luxury lifestyle, and international conferences.
  • D. Port of La Paz
    The Port of La Paz is a key maritime hub and gateway city on the Baja California Peninsula, serving as an important center for regional trade, fishing, and tourism in northwestern Mexico.
  • E. Port of Limay
    The Port of Limay is a key industrial and commercial seaport in Bataan, Philippines, serving as an important hub for petroleum, bulk cargo, and other maritime trade activities in the region.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb82d1a08190aa8c5c48d368b58b completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629e75e88190935ae3e7db8eb12f completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:37 p.m.