Triple

T4878661
Position Surface form Disambiguated ID Type / Status
Subject Valdivia E109267 entity
Predicate hasPort P35 FINISHED
Object Port of Corral E469458 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: Port of Corral | Statement: [Valdivia, hasPort, Port of Corral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Corral
Context triple: [Valdivia, hasPort, Port of Corral]
  • A. Port of Corral chosen
    The Port of Corral is a Chilean seaport near Valdivia that serves as a key maritime gateway for regional trade and fishing activities along the country’s southern coast.
  • B. Port of Santa Fe
    The Port of Santa Fe is a key inland river port in northeastern Argentina that supports regional trade and transportation along the Paraná River.
  • C. Port of San Vicente
    The Port of San Vicente is a key Chilean seaport on the Pacific coast that serves as an important commercial and industrial hub for the Biobío Region.
  • D. Puerto Casado
    Puerto Casado is a small river port town in northern Paraguay known historically for its tannin industry and its strategic location on the Paraguay River.
  • E. Port of Castro
    The Port of Castro is a maritime facility serving the town of Castro on the island of Chiloé in southern Chile, handling regional passenger and cargo traffic.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbd69d48190a8397d67af8f5fc8 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ffd9e88190a2c293d16a8cbbc7 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.