Triple

T3164121
Position Surface form Disambiguated ID Type / Status
Subject Manchester E66169 entity
Predicate hasDistrict P459 FINISHED
Object Castlefield E12285 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: Castlefield | Statement: [Manchester, hasDistrict, Castlefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castlefield
Context triple: [Manchester, hasDistrict, Castlefield]
  • A. Castlefield chosen
    Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
  • B. Castlefields
    Castlefields is a residential suburb within the town of Runcorn in Cheshire, England.
  • C. Waverley Square
    Waverley Square is a commercial and transit-oriented neighborhood in Belmont, Massachusetts, known for its local shops and MBTA commuter rail station.
  • D. Castlehill
    Castlehill is a historic street and area forming part of Edinburgh’s Old Town, located near Edinburgh Castle along the Royal Mile.
  • E. Dudley Square
    Dudley Square is a major commercial and transit hub in the Roxbury neighborhood of Boston, Massachusetts, historically serving as a key center for bus and rail connections.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61ba98881909106951c8ceeb959 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235d823948190b1fbe0dbf303133d completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.