Triple

T9634709
Position Surface form Disambiguated ID Type / Status
Subject Luangiua E232898 entity
Predicate countryCapital P204 FINISHED
Object Honiara E8626 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: Honiara | Statement: [Luangiua, countryCapital, Honiara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honiara
Context triple: [Luangiua, countryCapital, Honiara]
  • A. Honiara chosen
    Honiara is the capital and largest city of the Solomon Islands, located on the island of Guadalcanal in the southwestern Pacific Ocean.
  • B. Suva, Fiji
    Suva, Fiji is the capital and largest city of Fiji, serving as a major political, economic, and regional administrative hub in the South Pacific.
  • C. Marovo
    Marovo is an Oceanic language spoken by communities in the Solomon Islands, particularly around the Marovo Lagoon in Western Province.
  • D. Nukuʻalofa
    Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
  • E. Rabaul
    Rabaul is a town on the island of New Britain in Papua New Guinea that served as a major Japanese naval and air base during World War II and was heavily targeted by Allied operations.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2a0e2c8190ab5aaa223b1e1cde completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18237e2608190a3e7d45231a35efd completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.