Triple

T10420289
Position Surface form Disambiguated ID Type / Status
Subject Midland Harbour E245627 entity
Predicate governedBy P46 FINISHED
Object Town of Midland E546995 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: Town of Midland | Statement: [Midland Harbour, governedBy, Town of Midland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Midland
Context triple: [Midland Harbour, governedBy, 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 was a short-lived Formula One constructor that competed in the mid-2000s after taking over the Jordan Grand Prix team.
  • E. Midland
    Midland is a small town in central Ontario, Canada, known as a gateway to Georgian Bay and the 30,000 Islands region.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2aa7848190a7091ee71722fcc6 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc17c874819096b656056ed2dd8a completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:11 p.m.