Triple

T16591977
Position Surface form Disambiguated ID Type / Status
Subject Belgrade, Maine E403110 entity
Predicate hasLake P1025 FINISHED
Object Salmon Lake 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: Salmon Lake | Statement: [Belgrade, Maine, hasLake, Salmon Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salmon Lake
Context triple: [Belgrade, Maine, hasLake, Salmon Lake]
  • A. Salmon Lake chosen
    Salmon Lake is a freshwater lake in Maine’s Belgrade Lakes region, known for its scenic beauty and recreational fishing and boating.
  • B. Sawtooth Lake
    Sawtooth Lake is a popular high-elevation alpine lake in Idaho known for its clear waters and dramatic mountain scenery.
  • C. Mormon Lake
    Mormon Lake is a high-elevation natural lake and seasonal wetland in northern Arizona known for its variable water levels, surrounding ponderosa pine forests, and recreational opportunities.
  • D. Medicine Lake
    Medicine Lake is a high-elevation lake in northeastern California, situated within the caldera of the Medicine Lake Volcano and known for its scenic, forested setting and recreational opportunities.
  • E. Medicine Lake
    Medicine Lake is a scenic glacial-fed lake in the Canadian Rockies of Alberta, known for its disappearing water levels caused by an underground drainage system.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359a123e8819095cd73cd848a3345 completed April 18, 2026, 10:14 a.m.
Created at: April 10, 2026, 5:16 a.m.