Triple

T1891448
Position Surface form Disambiguated ID Type / Status
Subject Central Maine E41882 entity
Predicate contains P35 FINISHED
Object China, Maine E162130 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: China, Maine | Statement: [Central Maine, contains, China, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China, Maine
Context triple: [Central Maine, contains, China, Maine]
  • A. China, Maine chosen
    China, Maine is a small rural town in central Maine known for its lakes, including China Lake, and its quiet residential character.
  • B. Chin
    The Chin are an indigenous ethnic group from the mountainous regions of western Myanmar (and neighboring areas), known for their distinct Tibeto-Burman languages and rich cultural traditions.
  • C. Mexico, Maine
    Mexico, Maine is a small town in Oxford County known historically as a mill and residential community closely linked with the neighboring industrial town of Rumford.
  • D. Peru, Maine
    Peru, Maine is a small rural town in Oxford County known for its scenic western Maine landscape and close-knit community.
  • E. China
    China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb145f96c8190a71bb9e442892e68 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf68a8d48190a3360557def67692 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.