Triple

T13643065
Position Surface form Disambiguated ID Type / Status
Subject Oxford County E326033 entity
Predicate containsSettlement P847 FINISHED
Object Albany Township, Maine E353873 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: Albany Township, Maine | Statement: [Oxford County, containsSettlement, Albany Township, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albany Township, Maine
Context triple: [Oxford County, containsSettlement, Albany Township, Maine]
  • A. Albany Township, Maine chosen
    Albany Township, Maine is a small unorganized township in western Maine’s Oxford County, situated within the rural Oxford Hills region.
  • B. Alton, Maine
    Alton, Maine is a small rural town located in Penobscot County in the central part of the U.S. state of Maine.
  • C. Montville, Maine
    Montville, Maine is a small rural town in central Maine known for its forests, farms, and quiet, scenic countryside.
  • D. Mapleton, Maine
    Mapleton, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
  • E. Roxbury, Maine
    Roxbury, Maine is a small rural town in Oxford County known for its forested landscapes, lakes, and outdoor recreation opportunities 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5ac2af88190976abe6606994eef completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af74a548190bc8bbe1a1410997a completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.