Triple

T21214956
Position Surface form Disambiguated ID Type / Status
Subject Union Dutchmen E522810 entity
Predicate city P40 FINISHED
Object Schenectady 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: Schenectady | Statement: [Union Dutchmen, city, Schenectady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schenectady
Context triple: [Union Dutchmen, city, Schenectady]
  • A. Schenectady, New York chosen
    Schenectady, New York is a historic city in eastern New York State known for its role in early American industry and as a former hub of General Electric and the American locomotive industry.
  • B. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • C. Utica
    Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
  • D. Utica
    Utica is a small village in LaSalle County, Illinois, known as a gateway to the nearby Starved Rock State Park.
  • E. Útica
    Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734727a30819089c433e4fe6f438a completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:39 p.m.