Triple

T13902104
Position Surface form Disambiguated ID Type / Status
Subject Old Town Fire Department E334249 entity
Predicate serves P98 FINISHED
Object Old Town, Maine E66161 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: Old Town, Maine | Statement: [Old Town Fire Department, serves, Old Town, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town, Maine
Context triple: [Old Town Fire Department, serves, Old Town, Maine]
  • A. Old Town, Maine chosen
    Old Town, Maine is a small city in Penobscot County known for its historic paper and wood-products industries and its location along the Penobscot River.
  • B. Castle Rock, Maine
    Castle Rock, Maine is a fictional small town in Stephen King’s works, known as the setting for many of his horror and suspense stories.
  • C. Bar Harbor
    Bar Harbor is a coastal resort town on Mount Desert Island in Maine, known as a gateway to Acadia National Park and for its scenic oceanfront, tourism, and outdoor recreation.
  • D. Waterford, Maine
    Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
  • E. Falmouth, Maine
    Falmouth, Maine is a coastal suburban town near Portland known for its affluent residential communities, scenic shoreline, and recreational boating on Casco Bay.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d9c7a48190ad8fb0ca676f4f7b completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb58e50bc819086622a33b59cc332 completed May 9, 2026, 10:30 p.m.
Created at: April 9, 2026, 10:15 p.m.