Triple

T13049893
Position Surface form Disambiguated ID Type / Status
Subject Kobe Animal Kingdom E327423 entity
Predicate locatedIn P40 FINISHED
Object Port Island E62455 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: Port Island | Statement: [Kobe Animal Kingdom, locatedIn, Port Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Island
Context triple: [Kobe Animal Kingdom, locatedIn, Port Island]
  • A. Port Island chosen
    Port Island is a large man-made island and urban district in Kobe, Japan, known for its port facilities, business centers, and residential areas built on reclaimed land.
  • B. Port Royal Island
    Port Royal Island is a sea island in Beaufort County, South Carolina, known for its historic Lowcountry communities, coastal landscapes, and role in early American and Civil War history.
  • C. Boston Island
    Boston Island is a small island off the coast of Port Lincoln in South Australia, known for its coastal scenery and wildlife.
  • D. Harbor Island
    Harbor Island is a man-made peninsula in San Diego, California, known for its marinas, waterfront hotels, and views of the downtown skyline and bay.
  • E. Harbor Island
    Harbor Island is a large artificial industrial island in Seattle, Washington, situated at the mouth of the Duwamish River.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b98a7c48190a2ca0ec7b9bd8d19 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 8:57 p.m.