Triple

T3393413
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 201 E71470 entity
Predicate passesThrough P225 FINISHED
Object Topsham, Maine E673407 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: Topsham, Maine | Statement: [U.S. Route 201, passesThrough, Topsham, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topsham, Maine
Context triple: [U.S. Route 201, passesThrough, Topsham, Maine]
  • A. Topsham, Maine chosen
    Topsham, Maine is a small New England town on the Androscoggin River known for its historic village center, proximity to Brunswick, and role as a residential and commercial hub in coastal Maine.
  • B. Shapleigh, Maine
    Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
  • C. Chapman, Maine
    Chapman, Maine is a small rural town located in northern Maine within Aroostook County.
  • D. 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.
  • E. Mount Vernon, Maine
    Mount Vernon, Maine is a small rural town in central Maine known for its lakes, forests, and outdoor recreation, located within Kennebec County.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb853746c8190bfa1447e6ebbefb3 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c66e7c208190ac3cc8ace77c75e5 completed April 4, 2026, 8:06 a.m.
Created at: March 8, 2026, 3:14 p.m.