Triple

T4426904
Position Surface form Disambiguated ID Type / Status
Subject Penobscot River E95230 entity
Predicate flowsNear P350 FINISHED
Object Lincoln, Maine E81808 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: Lincoln, Maine | Statement: [Penobscot River, flowsNear, Lincoln, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln, Maine
Context triple: [Penobscot River, flowsNear, Lincoln, Maine]
  • A. Lincoln, Maine chosen
    Lincoln, Maine is a small town in northeastern Maine known for its numerous lakes, outdoor recreation opportunities, and rural New England character.
  • B. Madison, Maine
    Madison, Maine is a small town in central Maine known for its rural character, historic mill industry, and location along the Kennebec River.
  • C. Fairfield, Maine
    Fairfield, Maine is a small town in Somerset County known for its rural character, proximity to the Kennebec River, and role as part of the greater Waterville area in central Maine.
  • D. Clinton, Maine
    Clinton, Maine is a small rural town in central Maine known for its agricultural character and location along the Sebasticook River.
  • E. Gardiner, Maine
    Gardiner, Maine is a small historic city in central Maine located along the Kennebec River, known for its preserved downtown and 19th-century architecture.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554fb28081909018eaecc0c5c230 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4578899ac81908b6e3c8948ca6628 completed May 1, 2026, 7:34 a.m.
Created at: March 12, 2026, 11:30 p.m.