Triple

T12476272
Position Surface form Disambiguated ID Type / Status
Subject Leucas E298183 entity
Predicate hasAlternativeName P39 FINISHED
Object Leucadia E652173 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: Leucadia | Statement: [Leucas, hasAlternativeName, Leucadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leucadia
Context triple: [Leucas, hasAlternativeName, Leucadia]
  • A. Leucadia chosen
    Leucadia is a laid-back coastal community in northern San Diego County known for its surf culture, beaches, and small-town charm.
  • B. Saltina
    Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
  • C. Marshall Point
    Marshall Point is a historic lighthouse and scenic coastal landmark located in the Midcoast region of Maine.
  • D. Cape Charles, Virginia
    Cape Charles, Virginia is a small coastal town on Virginia’s Eastern Shore known for its historic downtown, Chesapeake Bay beaches, and role as a gateway to the southern tip of the Delmarva Peninsula.
  • E. Toano
    Toano is a small unincorporated community in eastern Virginia known for its rural character and proximity to the historic Williamsburg area.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcb194c81908b5e0320ddfd463c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f25462881908dccb831b474875d completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.