Triple

T12157311
Position Surface form Disambiguated ID Type / Status
Subject Marianne Meed Ward E289606 entity
Predicate employer P7 FINISHED
Object City of Burlington E128943 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: [Marianne Meed Ward, employer, City of Burlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Burlington
Context triple: [Marianne Meed Ward, employer, City of Burlington]
  • A. City of Burlington
    The City of Burlington is the municipal government responsible for providing local services, administration, and public amenities to residents of Burlington, North Carolina.
  • B. 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.
  • C. Burlington chosen
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • D. Burlington
    Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
  • E. Burlington
    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.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.