Triple

T21473316
Position Surface form Disambiguated ID Type / Status
Subject Rubiana E529786 entity
Predicate neighboringLanguages P16383 FINISHED
Object Marovo 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: Marovo | Statement: [Rubiana, neighboringLanguages, Marovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marovo
Context triple: [Rubiana, neighboringLanguages, Marovo]
  • A. Marovo chosen
    Marovo is an Oceanic language spoken by communities in the Solomon Islands, particularly around the Marovo Lagoon in Western Province.
  • B. Kavieng
    Kavieng is a coastal town in Papua New Guinea known as the main urban and commercial center of New Ireland Province and a gateway to nearby islands and dive sites.
  • C. Tulagi
    Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
  • D. Faleula
    Faleula is a village on the island of Upolu in Samoa, known for its coastal location and traditional Samoan community life.
  • E. Angaur
    Angaur is a small coral island in the southwest of Palau known for its phosphate deposits, World War II history, and unique mix of Micronesian, Japanese, and Western influences.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.