Triple

T17410454
Position Surface form Disambiguated ID Type / Status
Subject Pipers E423340 entity
Predicate city P40 FINISHED
Object Saint Paul NE NERFINISHED

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: Saint Paul | Statement: [Pipers, city, Saint Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Paul
Context triple: [Pipers, city, Saint Paul]
  • A. Saint Paul
    Saint Paul is a sculptural depiction of the Christian apostle Paul, created by the French Baroque sculptor Corneille Van Clève.
  • B. Saint Paul
    Saint Paul is a foundational figure of early Christianity, renowned as an apostle, missionary, and New Testament author whose teachings profoundly shaped Christian theology.
  • C. Saint Paul chosen
    Saint Paul is the capital city of Minnesota, known for its historic architecture, cultural institutions, and role as one of the Twin Cities alongside Minneapolis.
  • D. St. Paul
    St. Paul was one of the ships that participated in the Russian-led Great Northern Expedition, a massive 18th-century exploration effort to chart and study the Arctic and North Pacific regions.
  • E. Minneapolis
    Minneapolis is a major city in Minnesota known for its large and historically significant Norwegian American community, vibrant arts scene, and numerous lakes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0a88e881909b2886bd90c92992 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.