Triple

T22172688
Position Surface form Disambiguated ID Type / Status
Subject Township of Tiny E547960 entity
Predicate locatedNear P294 FINISHED
Object Town of Midland NE NERFINISHED

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: Town of Midland | Statement: [Township of Tiny, locatedNear, Town of Midland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Midland
Context triple: [Township of Tiny, locatedNear, Town of Midland]
  • A. Town of Midland chosen
    The Town of Midland is a small Ontario community on Georgian Bay known for its waterfront, marine heritage, and role as a regional service and tourism hub.
  • B. Town of Plains
    The Town of Plains is a small rural community in Georgia best known as the hometown of former U.S. President Jimmy Carter.
  • C. Crescentville
    Crescentville is a residential neighborhood in the Northeast section of Philadelphia, Pennsylvania, known for its rowhomes and urban community character.
  • D. Midland
    Midland is a major commercial and transport hub in the eastern suburbs of Perth, Western Australia.
  • E. Midland
    Midland is a city in the Permian Basin region of West Texas known for its pivotal role in the oil and gas industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.