Triple

T19480023
Position Surface form Disambiguated ID Type / Status
Subject San Martín de los Andes E487355 entity
Predicate locatedOnWaterbody P1489 FINISHED
Object Lake Lácar E1446414 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: Lake Lácar | Statement: [San Martín de los Andes, locatedOnWaterbody, Lake Lácar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Lácar
Context triple: [San Martín de los Andes, locatedOnWaterbody, 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 (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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343882a88190b3cfa65e6cac80d3 completed April 20, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fa9a7b0819097f527114c7de4d0 completed May 18, 2026, 10:16 p.m.
Created at: April 10, 2026, 1:39 p.m.