Triple

T21391783
Position Surface form Disambiguated ID Type / Status
Subject Ruthanne Fuller E527670 entity
Predicate placeOfWork P1527 FINISHED
Object Newton 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: Newton City Hall | Statement: [Ruthanne Fuller, placeOfWork, Newton City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton City Hall
Context triple: [Ruthanne Fuller, placeOfWork, Newton City Hall]
  • A. Newton City Hall chosen
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • B. Jackson City Hall
    Jackson City Hall is the primary municipal government building in Jackson, serving as the central location for city administration and public meetings.
  • C. Hamilton City Hall
    Hamilton City Hall is the main municipal government building of Hamilton, Ontario, known for its modernist architecture and role as the city's administrative center.
  • D. Trail City Hall
    Trail City Hall is the municipal government building in Trail, British Columbia, serving as the central location for city administration and council meetings.
  • E. Greenfield City Hall
    Greenfield City Hall is the primary municipal government building and a notable historic landmark in downtown Greenfield, Massachusetts.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cbfef08190a33ac1f198c82cd0 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.