Triple

T508322
Position Surface form Disambiguated ID Type / Status
Subject Connecticut E10549 entity
Predicate hasMajorCity P316 FINISHED
Object Hartford E67626 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: Hartford | Statement: [Connecticut, hasMajorCity, Hartford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford
Context triple: [Connecticut, hasMajorCity, Hartford]
  • A. Hartford chosen
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • B. The Hartford
    The Hartford is a major American insurance and financial services company known for its property and casualty, group benefits, and mutual funds offerings.
  • C. New Haven, Connecticut
    New Haven, Connecticut is a historic coastal city in southern New England best known as the home of Yale University and a major center of education, culture, and research.
  • D. Providence
    Providence is the capital and most populous city of Rhode Island, known for its historic architecture, prominent universities, and role as a cultural and economic center in New England.
  • E. Bridgeport
    Bridgeport is a historic, working-class neighborhood on Chicago’s South Side known for its strong ethnic communities and proximity to the city’s major sports venues.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f162f3888190b057ad04e40a30e2 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6732881488190a6f6eb556a42277c completed March 3, 2026, 5:35 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.