Triple

T14406848
Position Surface form Disambiguated ID Type / Status
Subject Connecticut Whale E357218 entity
Predicate homeCity P263 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 Whale, homeCity, Hartford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford
Context triple: [Connecticut Whale, homeCity, 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. Hartford
    Hartford is a small city in eastern South Dakota that functions as a suburban community within the greater Sioux Falls metropolitan area.
  • C. New Haven
    New Haven is a small city in central Kentucky known for its historic railroad heritage and proximity to the Kentucky Railway Museum.
  • D. Hartford (Providence)
    Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
  • E. 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.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908804048190a4fe58afc2e0a5b6 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967a96708190b8688e84fdb270b0 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:17 a.m.