Triple

T3686284
Position Surface form Disambiguated ID Type / Status
Subject Lake Waubesa E78232 entity
Predicate connectedTo P37 FINISHED
Object Lake Kegonsa E78558 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 Kegonsa | Statement: [Lake Waubesa, connectedTo, Lake Kegonsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Kegonsa
Context triple: [Lake Waubesa, connectedTo, Lake Kegonsa]
  • A. Lake Kegonsa chosen
    Lake Kegonsa is a glacial freshwater lake in south-central Wisconsin that is popular for boating, fishing, and its surrounding state park.
  • B. Miage Lake
    Miage Lake is a proglacial lake in the Italian Alps formed at the terminus of the Miage Glacier, known for its striking setting beneath Mont Blanc.
  • C. Teresa Lake
    Teresa Lake is a small alpine glacial lake in Nevada’s Great Basin National Park, known for its scenic mountain setting and hiking access.
  • D. Naknek Lake
    Naknek Lake is a large glacial lake in southern Alaska renowned for its salmon runs, brown bear viewing, and scenic wilderness within Katmai National Park.
  • E. Simly Lake
    Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77765a788190aaf4637ad4cab5ed completed March 21, 2026, 10:48 a.m.
Created at: March 8, 2026, 3:26 p.m.