Triple

T17480491
Position Surface form Disambiguated ID Type / Status
Subject Peter Jeffress Pauling E425644 entity
Predicate workLocation P7 FINISHED
Object Cambridge 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: Cambridge | Statement: [Peter Jeffress Pauling, workLocation, Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge
Context triple: [Peter Jeffress Pauling, workLocation, Cambridge]
  • A. Cambridge
    Cambridge is a town in New Zealand known for its picturesque rural setting, equestrian culture, and proximity to the Waikato River.
  • B. 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).
  • C. Cambridge
    Cambridge is a prominent city in the Greater Boston area best known as the home of Harvard University and the Massachusetts Institute of Technology (MIT).
  • D. Cambridge
    Cambridge is a city in southwestern Ontario, Canada, known as part of the Regional Municipality of Waterloo and situated along the Grand River.
  • E. CAMBRIDGE
    Cambridge is a historic university city in eastern England, renowned for the University of Cambridge and its rich academic and architectural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bf1e8081909f4d4b8992412e62 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.