Triple

T2388862
Position Surface form Disambiguated ID Type / Status
Subject Southern Maine E48893 entity
Predicate contains P35 FINISHED
Object Arundel, Maine E525686 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: Arundel, Maine | Statement: [Southern Maine, contains, Arundel, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arundel, Maine
Context triple: [Southern Maine, contains, Arundel, Maine]
  • A. Arundel, Maine chosen
    Arundel, Maine is a small town in York County known for its rural character and proximity to the popular coastal resort community of Kennebunkport.
  • B. Hollis, Maine
    Hollis, Maine is a small rural town in southern Maine known for its residential character and location along the Saco River in York County.
  • C. Howland, Maine
    Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
  • D. Ellsworth, Maine
    Ellsworth, Maine is a small city in Hancock County that serves as a commercial hub and gateway to the Downeast region and nearby Acadia National Park.
  • E. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7dca9248190b634ae9e02f6899a completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69c83414c374819085ca1e441728c6af completed March 28, 2026, 8:03 p.m.
Created at: March 4, 2026, 7:57 p.m.