Triple

T12045932
Position Surface form Disambiguated ID Type / Status
Subject CTfastrak E286786 entity
Predicate fundingSource P67 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: [CTfastrak, fundingSource, State of Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Connecticut
Context triple: [CTfastrak, fundingSource, 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. Rhoda Island
    Rhoda Island is a Nile island in central Cairo, Egypt, known for its historic palaces, gardens, and cultural landmarks.
  • C. Scotland, Connecticut
    Scotland, Connecticut is a small rural town in eastern Windham County known for its historic character and quiet, agricultural landscape.
  • D. Lebanon, Connecticut
    Lebanon, Connecticut is a rural town in New London County known for its historic town green and agricultural heritage.
  • E. Washington, Connecticut
    Washington, Connecticut is a small, historic New England town known for its rural charm, preserved landscapes, and role as the inspiration for the setting of the television series "Gilmore Girls."
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9041fe3b0819094b82a6b17ac59c3 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49db574bc8190a0f2f858a2ff788d completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.