Triple

T8865612
Position Surface form Disambiguated ID Type / Status
Subject Mount Desert Island E211010 entity
Predicate hasTown P847 FINISHED
Object Mount Desert E762745 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: Mount Desert | Statement: [Mount Desert Island, hasTown, Mount Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Desert
Context triple: [Mount Desert Island, hasTown, Mount Desert]
  • A. Mount Desert, Maine chosen
    Mount Desert, Maine is a coastal town on Mount Desert Island known for its proximity to Acadia National Park and its scenic natural landscapes.
  • B. Mount Desert Island
    Mount Desert Island is a large, scenic island off the coast of Maine best known as the home of Acadia National Park and the town of Bar Harbor.
  • C. Mount Chase, Maine
    Mount Chase, Maine is a small rural town in northern Maine known for its forested landscapes, outdoor recreation, and proximity to Baxter State Park and Mount Katahdin.
  • D. Passadumkeag, Maine
    Passadumkeag, Maine is a small rural town in Penobscot County known for its location along the Penobscot River in eastern Maine.
  • E. Etna, Maine
    Etna, Maine is a small rural town in Penobscot County known for its quiet residential character and location along major east–west travel routes in central Maine.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6106d41081909db710bda8aaf6fd completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba113870819096438aebeddbf34a completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:51 p.m.