Triple

T3087782
Position Surface form Disambiguated ID Type / Status
Subject Poland, Maine E64413 entity
Predicate bordersTown P224 FINISHED
Object New Gloucester, Maine E445288 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: New Gloucester, Maine | Statement: [Poland, Maine, bordersTown, New Gloucester, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Gloucester, Maine
Context triple: [Poland, Maine, bordersTown, New Gloucester, Maine]
  • A. New Gloucester, Maine chosen
    New Gloucester, Maine is a rural New England town in Cumberland County known for its historic Shaker Village and scenic countryside.
  • B. Winthrop, Maine
    Winthrop, Maine is a small New England town known for its lakes, outdoor recreation, and residential community west of Augusta.
  • C. Bridgewater, Maine
    Bridgewater, Maine is a small rural town in northern Maine known for its agricultural landscape and location near the Canadian border.
  • D. Cambridge, Maine
    Cambridge, Maine is a small rural town in central Maine known for its quiet, forested landscape and location within Somerset County.
  • E. South Portland, Maine
    South Portland, Maine is a coastal city in Cumberland County known for its industrial base, retail centers, and proximity to Portland Harbor.
  • 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_69ca1463cacc8190b143ab1ced648ec7 completed March 30, 2026, 6:12 a.m.
Created at: March 8, 2026, 3:03 p.m.