Triple

T3918127
Position Surface form Disambiguated ID Type / Status
Subject Lakeview Cemetery, Burlington, Vermont E88892 entity
Predicate hasMunicipality P847 FINISHED
Object City of Burlington E351213 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 Burlington | Statement: [Lakeview Cemetery, Burlington, Vermont, hasMunicipality, City of Burlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Burlington
Context triple: [Lakeview Cemetery, Burlington, Vermont, hasMunicipality, City of Burlington]
  • A. city of Burlington
    The city of Burlington is a small rural community in eastern Colorado known as a regional agricultural and service center near the Kansas border.
  • B. Burlington
    Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
  • C. Burlington
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • D. Burlington chosen
    Burlington is a city in northwestern Vermont on the shores of Lake Champlain, known as the state’s largest city and a regional cultural and economic center.
  • E. Burlington
    Burlington is a small town that serves as a local community and commercial center along 3rd Avenue.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed59485c819095c58edd053e3401 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c37594081909a3699bbd4863555 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:22 p.m.