Triple

T6866596
Position Surface form Disambiguated ID Type / Status
Subject North Tyneside E158416 entity
Predicate containsSettlement P847 FINISHED
Object Forest Hall E355262 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: Forest Hall | Statement: [North Tyneside, containsSettlement, Forest Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Hall
Context triple: [North Tyneside, containsSettlement, Forest Hall]
  • A. Forest Hall chosen
    Forest Hall is a suburban area in North Tyneside, England, known primarily as a residential community near Newcastle upon Tyne.
  • B. Dockray Hall
    Dockray Hall is a historic building and former inn located in the market town of Penrith in Cumbria, England.
  • C. New Hall
    New Hall is the former name of Murray Edwards College, a women’s constituent college of the University of Cambridge known for its modernist architecture and focus on promoting women’s education.
  • D. Hudson Hall
    Hudson Hall is a multidisciplinary arts and cultural center housed in New York State’s oldest surviving theater building in Hudson, New York.
  • E. Hudson Hall
    Hudson Hall is a primary academic and research building of Duke University's Pratt School of Engineering, housing classrooms, laboratories, and faculty offices.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a5ef848190b6b9a11a3fbdb384 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74292922c8190a0d3ee6f74ff672c completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:21 p.m.