Triple

T20310485
Position Surface form Disambiguated ID Type / Status
Subject Port Island Campus E510223 entity
Predicate locatedIn P40 FINISHED
Object Port Island NE NERFINISHED

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: [Port Island Campus, locatedIn, Port Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Island
Context triple: [Port Island Campus, 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. Hive Island
    Hive Island is a small island located within Resurrection Bay on the southern coast of Alaska, known for its rugged shoreline and surrounding marine wildlife.
  • D. Boston Island
    Boston Island is a small island off the coast of Port Lincoln in South Australia, known for its coastal scenery and wildlife.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677436af88190a046c44fa45b68b4 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.