Triple

T20631573
Position Surface form Disambiguated ID Type / Status
Subject Lácar Department E506967 entity
Predicate namedAfter P63 FINISHED
Object Lake Lácar NE NERFINISHED

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: Lake Lácar | Statement: [Lácar Department, namedAfter, Lake Lácar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Lácar
Context triple: [Lácar Department, namedAfter, Lake Lácar]
  • A. Lake Lácar chosen
    Lake Lácar is a deep glacial lake in Argentina’s Neuquén Province, renowned for its clear waters, surrounding Andean landscapes, and role as a centerpiece of the Patagonian lake district.
  • B. Lake Niegocin
    Lake Niegocin is a large Masurian lake in northeastern Poland, popular for sailing and water recreation.
  • C. Lake Lauerz
    Lake Lauerz is a small alpine lake in central Switzerland known for its scenic setting near the town of Schwyz and views of the surrounding mountains.
  • D. Spednic Lake
    Spednic Lake is a large, remote freshwater lake straddling the U.S.–Canada border between Maine and New Brunswick, known for its wilderness character and excellent sport fishing.
  • E. Lake Rāzna
    Lake Rāzna is one of Latvia’s largest lakes, located in the Latgale region and known for its scenic landscapes and ecological significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad0b0508819093c62a4ceaf860ce completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.