Triple

T2405070
Position Surface form Disambiguated ID Type / Status
Subject River Line E50257 entity
Predicate servesMunicipality P3936 FINISHED
Object Burlington E72669 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: Burlington | Statement: [River Line, servesMunicipality, Burlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burlington
Context triple: [River Line, servesMunicipality, Burlington]
  • A. Burlington
    Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
  • B. Burlington
    Burlington is a suburban town in Massachusetts known for its proximity to Boston and its mix of residential neighborhoods, office parks, and retail centers.
  • C. Burlington chosen
    Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
  • D. Burlington
    Burlington is a city in North Carolina known historically as a railroad and textile manufacturing hub in the Piedmont region of the state.
  • E. Burlington, Vermont
    Burlington, Vermont is the largest city in Vermont, known for its vibrant arts scene, waterfront on Lake Champlain, and home to the University of Vermont.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fa151081909bc6be528b29b315 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108bf1214819091291de2c8343764 completed March 11, 2026, 6:16 a.m.
Created at: March 4, 2026, 7:58 p.m.