Triple

T2210707
Position Surface form Disambiguated ID Type / Status
Subject Augusta State Airport E50910 entity
Predicate serves P98 FINISHED
Object Augusta, Maine E2670 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: Augusta, Maine | Statement: [Augusta State Airport, serves, Augusta, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta, Maine
Context triple: [Augusta State Airport, serves, Augusta, Maine]
  • A. Augusta, Maine chosen
    Augusta, Maine is a small city in the northeastern United States known as the capital of the state of Maine and situated along the Kennebec River.
  • B. Portland, Maine
    Portland, Maine is a coastal New England city known for its historic Old Port district, vibrant arts and food scenes, and working waterfront on Casco Bay.
  • C. Bangor, Maine
    Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
  • D. Madison, Maine
    Madison, Maine is a small town in central Maine known for its rural character, historic mill industry, and location along the Kennebec River.
  • E. Augusta
    Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfeb889081908cddf58a57b216df completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b515c081909d6ad7f0506ea5a8 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:46 p.m.