Triple

T434021
Position Surface form Disambiguated ID Type / Status
Subject Penobscot County, Maine E9773 entity
Predicate hasTown P847 FINISHED
Object Hampden, Maine E51123 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: Hampden, Maine | Statement: [Penobscot County, Maine, hasTown, Hampden, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampden, Maine
Context triple: [Penobscot County, Maine, hasTown, Hampden, Maine]
  • A. Hampden, Maine chosen
    Hampden, Maine is a small town in Penobscot County known as the birthplace of 19th-century social reformer Dorothea Dix.
  • B. Harrison, Maine
    Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
  • C. Rumford, Maine
    Rumford, Maine is a small mill town in western Maine known for its paper industry heritage and proximity to outdoor recreation in the surrounding mountains and rivers.
  • D. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • E. Bethel, Maine
    Bethel, Maine is a small town in western Maine known for its outdoor recreation, proximity to the White Mountains, and role as a gateway to nearby ski areas like Sunday River.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef0a008c8190ae0aa25e4df9c35f completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58030d0e48190a6390478e62f8659 completed March 2, 2026, 12:18 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.