Triple

T20060150
Position Surface form Disambiguated ID Type / Status
Subject Malden Center E499447 entity
Predicate near P350 FINISHED
Object Malden City Hall 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: Malden City Hall | Statement: [Malden Center, near, Malden City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malden City Hall
Context triple: [Malden Center, near, Malden City Hall]
  • A. Malden City Hall chosen
    Malden City Hall is the main municipal government building for the city of Malden, Massachusetts, housing city offices and serving as the center of local administration.
  • B. Medford City Hall
    Medford City Hall is the main municipal government building of Medford, Massachusetts, housing city offices and serving as a central civic landmark.
  • C. Watertown City Hall
    Watertown City Hall is the main municipal government building and administrative center serving the city of Watertown, Massachusetts.
  • D. Holyoke City Hall
    Holyoke City Hall is a historic municipal building in downtown Holyoke, Massachusetts, known for its distinctive architecture and role as the center of city government.
  • E. Roxbury Town Hall
    Roxbury Town Hall is the central municipal building and administrative hub for the town of Roxbury, Connecticut.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.