Triple

T6709905
Position Surface form Disambiguated ID Type / Status
Subject Allagash River E153110 entity
Predicate sourceRegion P410 FINISHED
Object Maine North Woods E37839 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: Maine North Woods | Statement: [Allagash River, sourceRegion, Maine North Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maine North Woods
Context triple: [Allagash River, sourceRegion, Maine North Woods]
  • A. North Maine Woods chosen
    North Maine Woods is a vast, sparsely populated forested region in northern Maine known for its remote wilderness, logging operations, and outdoor recreation opportunities such as hunting, fishing, and camping.
  • B. Carrabassett Valley, Maine
    Carrabassett Valley, Maine is a small resort town in western Maine best known as the home of the Sugarloaf ski area and year-round outdoor recreation.
  • C. Maine Highlands
    Maine Highlands is a scenic inland region of Maine known for its vast forests, lakes, and outdoor recreation opportunities, including the popular Moosehead Lake area.
  • D. Peirce’s Woods
    Peirce’s Woods was the historic arboreal tract in Pennsylvania that later became part of the renowned Longwood Gardens estate.
  • E. North Woods
    North Woods is a large, wooded section of New York City's Central Park designed to evoke a natural forest retreat within the urban landscape.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d105b49c8190932246a727e2c513 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700906a9c81908a121db4291195d8 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.