Triple

T16891096
Position Surface form Disambiguated ID Type / Status
Subject Susan Bysiewicz E424171 entity
Predicate jurisdiction P82 FINISHED
Object State of Connecticut E10549 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: State of Connecticut | Statement: [Susan Bysiewicz, jurisdiction, State of Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Connecticut
Context triple: [Susan Bysiewicz, jurisdiction, State of Connecticut]
  • A. Connecticut chosen
    Connecticut is a small New England state in the northeastern United States known for its colonial history, affluent suburbs, and role as a financial and educational hub.
  • B. D. Conn.
    D. Conn. is the standard legal abbreviation for the United States District Court for the District of Connecticut, a federal trial court within the Second Circuit.
  • C. Rhoda Island
    Rhoda Island is a Nile island in central Cairo, Egypt, known for its historic palaces, gardens, and cultural landmarks.
  • D. Scotland, Connecticut
    Scotland, Connecticut is a small rural town in eastern Windham County known for its historic character and quiet, agricultural landscape.
  • E. Lebanon, Connecticut
    Lebanon, Connecticut is a rural town in New London County known for its historic town green and agricultural heritage.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc473d4819090cfea374ef5ca49 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfca11bc8190b0835de0d56ca0b1 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.