Triple

T3087784
Position Surface form Disambiguated ID Type / Status
Subject Poland, Maine E64413 entity
Predicate bordersTown P224 FINISHED
Object Casco, Maine E384439 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: Casco, Maine | Statement: [Poland, Maine, bordersTown, Casco, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casco, Maine
Context triple: [Poland, Maine, bordersTown, Casco, Maine]
  • A. Casco, Maine chosen
    Casco, Maine is a small town in southern Maine known for its lakeside recreation and rural New England character.
  • B. Brunswick, Maine
    Brunswick, Maine is a coastal New England town known for being the home of Bowdoin College and for its historic downtown and maritime heritage.
  • C. Portland, Maine
    Portland, Maine is a coastal New England city known for its historic Old Port district, vibrant arts and food scenes, and working waterfront on Casco Bay.
  • D. Kittery, Maine
    Kittery, Maine is a historic coastal town at the southern tip of the state, known for its naval shipyard and outlet shopping district.
  • E. Kennebunk, Maine
    Kennebunk, Maine is a coastal New England town known for its historic charm, beaches, and popular summer tourism.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada437c5e08190af22f6fa11cf9252 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595d57bcc8190b2a6e28437a32b93 completed March 14, 2026, 5:07 p.m.
Created at: March 8, 2026, 3:03 p.m.