Triple

T18215203
Position Surface form Disambiguated ID Type / Status
Subject Arlington Town Hall E436134 entity
Predicate governingBody P46 FINISHED
Object Town of Arlington 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 Arlington | Statement: [Arlington Town Hall, governingBody, Town of Arlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Arlington
Context triple: [Arlington Town Hall, governingBody, Town of Arlington]
  • A. Town of Arlington chosen
    The Town of Arlington is a suburban municipality in Middlesex County, Massachusetts, located just northwest of Boston and known for its historic character and residential neighborhoods.
  • B. Barn Hill
    Barn Hill is a wooded hillside area within Kinnoull Hill Woodland Park in Perth, Scotland, known for its natural trails and scenic surroundings.
  • C. Salisbury Heights
    Salisbury Heights is a residential suburb in the northern metropolitan area of Adelaide, South Australia.
  • D. Belden Point
    Belden Point is a historic waterfront area at the southern tip of City Island in the Bronx, known for its views of the Long Island Sound and maritime character.
  • E. Arlington Mills
    Arlington Mills was a major New England textile manufacturing complex known for its large-scale woolen and worsted production during the late 19th and early 20th centuries.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e476a6548190bda03190c5f531ad completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.