Triple

T13642825
Position Surface form Disambiguated ID Type / Status
Subject Maine State Building (Poland, Maine) E326026 entity
Predicate locatedIn P40 FINISHED
Object Poland, Maine E64413 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: Poland, Maine | Statement: [Maine State Building (Poland, Maine), locatedIn, Poland, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poland, Maine
Context triple: [Maine State Building (Poland, Maine), locatedIn, Poland, Maine]
  • A. Poland, Maine chosen
    Poland, Maine is a small town in southwestern Maine known for its rural character and historic Poland Spring resort and bottled water brand.
  • B. Poland, New York
    Poland, New York is a small village in Herkimer County known for its rural character and location along waterways in central New York State.
  • C. Sweden, Maine
    Sweden, Maine is a small rural town in Oxford County known for its scenic lakeside setting and outdoor recreation opportunities in western Maine.
  • D. Denmark, Maine
    Denmark, Maine is a small rural town in Oxford County known for its lakeside setting in western Maine’s Lakes Region.
  • E. Norway, Maine
    Norway, Maine is a small New England town known for its historic downtown, lakes and outdoor recreation, located in western Maine.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5ac2af88190976abe6606994eef completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c8e7988190bcd338bdeba0ae60 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:51 p.m.