Triple

T14432830
Position Surface form Disambiguated ID Type / Status
Subject New Georgia E357877 entity
Predicate hasNearbyIsland P970 FINISHED
Object Gatokae E391387 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: Gatokae | Statement: [New Georgia, hasNearbyIsland, Gatokae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatokae
Context triple: [New Georgia, hasNearbyIsland, Gatokae]
  • A. Gatokae chosen
    Gatokae is a volcanic island in the New Georgia Islands group of the Solomon Islands, known for its rugged terrain, surrounding coral reefs, and traditional villages.
  • B. Gorokan
    Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
  • C. Ohoka
    Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
  • D. Gorikai
    Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
  • E. Yoboki
    Yoboki is a small town in Djibouti located within the Dikhil Region, known for its arid landscape and role as a local administrative and trading center.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a38003c819083f276fcaae52da9 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:18 a.m.