Triple

T10686270
Position Surface form Disambiguated ID Type / Status
Subject Margaret White E251884 entity
Predicate residence P75 FINISHED
Object Chamberlain, Maine E375485 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: Chamberlain, Maine | Statement: [Margaret White, residence, Chamberlain, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamberlain, Maine
Context triple: [Margaret White, residence, Chamberlain, Maine]
  • A. Chamberlain, Maine chosen
    Chamberlain, Maine is a fictional small coastal town in Stephen King's works, notably serving as the primary setting of his novel "Carrie."
  • B. Blaine, Maine
    Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
  • C. Morrill, Maine
    Morrill, Maine is a small rural town in Waldo County known for its quiet residential character and forested, hilly landscape in central coastal Maine.
  • D. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • E. Thorndike, Maine
    Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd192220819088eff88148376266 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009181980481908fb49e464aef8734 completed May 10, 2026, 2:09 p.m.
Created at: April 8, 2026, 9:10 p.m.