Triple

T4728222
Position Surface form Disambiguated ID Type / Status
Subject Ferdinando Gorges E104938 entity
Predicate placeOfActivity P1527 FINISHED
Object Maine (region) E73518 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 (region) | Statement: [Ferdinando Gorges, placeOfActivity, Maine (region)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maine (region)
Context triple: [Ferdinando Gorges, placeOfActivity, Maine (region)]
  • A. Maine
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • B. Maine chosen
    Maine is a historical region in northwestern France that played a significant role in the medieval power struggles between the English and French crowns.
  • C. Freedom, Maine
    Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
  • D. Gray, Maine
    Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
  • E. Count of Maine
    The Count of Maine was a medieval French noble title associated with the strategically important province of Maine, often held by powerful royal and princely figures such as Charles I of Anjou.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd644a0ef88190a46230446dfff635 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d8230208190bfa833f12573f78f completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:18 p.m.