Triple

T7191197
Position Surface form Disambiguated ID Type / Status
Subject Parker's Piece E167693 entity
Predicate partOf P40 FINISHED
Object City of Cambridge E620421 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: City of Cambridge | Statement: [Parker's Piece, partOf, City of Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Cambridge
Context triple: [Parker's Piece, partOf, City of Cambridge]
  • A. City of Cambridge
    The City of Cambridge is a historic and culturally vibrant Massachusetts city known for its prestigious universities, diverse neighborhoods, and rich architectural heritage.
  • B. CAMBRIDGE chosen
    Cambridge is a historic university city in eastern England, renowned for the University of Cambridge and its rich academic and architectural heritage.
  • C. Cambridge
    Cambridge is a city in southwestern Ontario, Canada, known as part of the Regional Municipality of Waterloo and situated along the Grand River.
  • D. Cambridge
    Cambridge is a town in New Zealand known for its picturesque rural setting, equestrian culture, and proximity to the Waikato River.
  • E. Cambridge
    Cambridge is a historic and academically renowned city in Massachusetts, best known as the home of Harvard University and the Massachusetts Institute of Technology (MIT).
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e90087208190a65e49ae0e8a7cbf completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db0401f481909cc09c2b8c23cd24 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:50 p.m.