Triple

T6918292
Position Surface form Disambiguated ID Type / Status
Subject Portsmouth, Virginia E160117 entity
Predicate hasHistoricSite P1098 FINISHED
Object Craney Island E688117 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: Craney Island | Statement: [Portsmouth, Virginia, hasHistoricSite, Craney Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craney Island
Context triple: [Portsmouth, Virginia, hasHistoricSite, Craney Island]
  • A. Craney Island chosen
    Craney Island is a small island in Virginia notable as the site of an 1813 War of 1812 battle in which American forces successfully repelled a British attack.
  • B. Dunham Island
    Dunham Island is a small island located within Oneida Lake in central New York State.
  • C. Muggs Island
    Muggs Island is a small, wooded island within Toronto’s offshore island chain, known for its natural setting and limited development.
  • D. Fannette Island
    Fannette Island is the only island in Lake Tahoe, known for its picturesque setting in Emerald Bay and the ruins of a small stone teahouse on its summit.
  • E. Drummond Island
    Drummond Island is a large, sparsely populated island in Michigan known for its rugged natural landscapes, outdoor recreation, and location near the U.S.–Canada border in Lake Huron.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9061709f48190a9e198dac225aed4 completed March 29, 2026, 10:59 a.m.
Created at: March 27, 2026, 2:26 p.m.