Triple

T15762821
Position Surface form Disambiguated ID Type / Status
Subject CTA Purple Line E382139 entity
Predicate hasStation P35 FINISHED
Object Linden E384686 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: Linden | Statement: [CTA Purple Line, hasStation, Linden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linden
Context triple: [CTA Purple Line, hasStation, Linden]
  • A. Linden chosen
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • B. Linden
    Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
  • C. Linden
    Linden is a small rural community located along Nova Scotia’s North Shore in Cumberland County, Canada.
  • D. Linden
    Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
  • E. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.