Triple

T4865987
Position Surface form Disambiguated ID Type / Status
Subject Milton, New York E108770 entity
Predicate hasName P744 FINISHED
Object Milton E111901 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: Milton | Statement: [Milton, New York, hasName, Milton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milton
Context triple: [Milton, New York, hasName, Milton]
  • A. Milton
    Milton is a common English surname most famously borne by the 17th-century poet John Milton, author of "Paradise Lost."
  • B. Milton chosen
    Milton is a rapidly growing town in Southern Ontario, Canada, located within the Greater Toronto Area and known for its suburban communities and proximity to major urban centers.
  • C. Milton
    Milton is a village and civil parish just north of Cambridge in South Cambridgeshire, England, known for its proximity to the city and the nearby Cambridge Science Park.
  • D. Milton
    Milton is the given first name of the influential American artist Robert Rauschenberg, known for his pioneering work in mixed-media and pop art.
  • E. Milton
    Milton is a masculine given name of Old English origin meaning "mill town" that has been borne by numerous notable figures across arts, politics, and academia.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67e0d88881909e378e919daab4e6 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:26 p.m.