Triple

T17366806
Position Surface form Disambiguated ID Type / Status
Subject Fiji Military Forces E422206 entity
Predicate headquartersLocation P62 FINISHED
Object Suva NE ONNED1

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: Suva | Statement: [Fiji Military Forces, headquartersLocation, Suva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suva
Context triple: [Fiji Military Forces, headquartersLocation, Suva]
  • A. Nukuʻalofa
    Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
  • B. Suva, Fiji chosen
    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. Apia
    Apia is the capital and largest city of Samoa, serving as its main political, economic, and cultural hub on the island of Upolu.
  • D. Apia
    Apia is an Australian insurance brand specializing in products and services tailored primarily for people over 50.
  • E. Honiara
    Honiara is the capital and largest city of the Solomon Islands, located on the island of Guadalcanal in the southwestern Pacific Ocean.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a50c9ec8190b518fdf80808af53 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019564d2c0819095337b6e769d9ff5 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.