Triple

T603845
Position Surface form Disambiguated ID Type / Status
Subject George Howard Darwin E11552 entity
Predicate residence P75 FINISHED
Object Cambridge, England E492 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: Cambridge, England | Statement: [George Howard Darwin, residence, Cambridge, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge, England
Context triple: [George Howard Darwin, residence, Cambridge, England]
  • A. Cambridge, England chosen
    Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
  • B. Cambridge city center
    Cambridge city center is the main commercial and cultural hub of Cambridge, Massachusetts, encompassing historic districts, universities, shops, and restaurants.
  • C. Middlesex, England
    Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
  • D. Durham, England
    Durham, England is a historic cathedral city in northeast England known for its Norman architecture, including Durham Cathedral and Castle, and as a prominent university center.
  • E. Oxford
    Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc67b248190b0bb195553f03be8 completed March 1, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55546c93081909bf2fdd0144ae327 completed March 2, 2026, 9:15 a.m.
Created at: March 1, 2026, 7:35 p.m.