Triple

T7799783
Position Surface form Disambiguated ID Type / Status
Subject Sabine River E180397 entity
Predicate hasEstuary P4359 FINISHED
Object Sabine Lake E588161 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: Sabine Lake | Statement: [Sabine River, hasEstuary, Sabine Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabine Lake
Context triple: [Sabine River, hasEstuary, Sabine Lake]
  • A. Sabine Lake chosen
    Sabine Lake is a large brackish estuary on the Texas–Louisiana border that serves as an important waterway and ecological habitat along the Gulf Coast.
  • B. Merzbacher Lake
    Merzbacher Lake is a glacial lake in the Tian Shan mountains of Kyrgyzstan, famous for its periodic outburst floods when its ice dam collapses.
  • C. Simly Lake
    Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
  • D. Dierkes Lake
    Dierkes Lake is a popular recreation area near Twin Falls, Idaho, known for swimming, fishing, picnicking, and access to scenic trails and rock formations.
  • E. Cossayuna Lake
    Cossayuna Lake is a small, scenic freshwater lake in eastern upstate New York known for recreational activities like fishing, boating, and lakeside cottages.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae985d8f08190b38d9d6848a7dc83 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e686db808190a2aa975a20e69696 completed April 18, 2026, 8:16 p.m.
Created at: March 30, 2026, 4:33 p.m.