Triple

T10927188
Position Surface form Disambiguated ID Type / Status
Subject Acadian festivals E258098 entity
Predicate occurIn P48990 FINISHED
Object Maine E29256 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 | Statement: [Acadian festivals, occurIn, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maine
Context triple: [Acadian festivals, occurIn, Maine]
  • A. Maine
    Maine is a historical region in northwestern France that played a significant role in the medieval power struggles between the English and French crowns.
  • B. Maine chosen
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • C. New Hampshire and Maine
    New Hampshire and Maine are neighboring New England states in the northeastern United States, known for their rugged coastlines, forested landscapes, and historic colonial towns.
  • D. Freedom, Maine
    Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
  • E. New Hampshire
    New Hampshire is a small New England state in the northeastern United States known for its mountainous landscapes, early presidential primary, and “Live Free or Die” motto.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709165188190aa30dd08deddade4 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b9e5ddc81908cbd27e8db49dbaf completed April 17, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:22 p.m.