Triple

T11522841
Position Surface form Disambiguated ID Type / Status
Subject Black Lake E273208 entity
Predicate hasName P744 FINISHED
Object Black Lake unclear NED1 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: Black Lake | Statement: [Black Lake, hasName, Black Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Lake
Context triple: [Black Lake, hasName, Black Lake]
  • A. Black Lake
    Black Lake is a small inland lake located in Norton Shores, Michigan, known for local recreation and natural scenery.
  • B. Black Lake
    Black Lake is a freshwater lake in Thurston County, Washington, known for recreation such as boating and fishing amid a largely residential and forested shoreline.
  • C. Kabetogama Lake
    Kabetogama Lake is a large, scenic freshwater lake in northern Minnesota known for its fishing, boating, and role as a central feature of Voyageurs National Park.
  • D. White Lake
    White Lake is a small resort town and natural freshwater lake in southeastern North Carolina known for its clear, spring-fed waters and recreational tourism.
  • E. White Lake
    White Lake is a large freshwater lake in Russia’s Vologda Oblast that forms an important link in the Volga–Baltic waterway system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170d8c9f0819099a398814f49f0ed completed May 11, 2026, 6:02 a.m.
Created at: April 8, 2026, 9:37 p.m.