Triple

T14174932
Position Surface form Disambiguated ID Type / Status
Subject Lautoka sugar mill E351306 entity
Predicate importanceToSector P50235 FINISHED
Object backbone facility of Fiji sugar industry LITERAL 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: backbone facility of Fiji sugar industry | Statement: [Lautoka sugar mill, importanceToSector, backbone facility of Fiji sugar industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: importanceToSector
Context triple: [Lautoka sugar mill, importanceToSector, backbone facility of Fiji sugar industry]
  • A. sectorInfluence
    Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
  • B. portImportance
    Indicates the relative significance or strategic value of a port within a given context (such as trade, logistics, or transportation networks).
  • C. hasSectoralPriority
    Indicates that something is designated as having priority or special importance within a particular sector or industry.
  • D. notableSector chosen
    Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
  • E. ownerSector
    Indicates the sector or industry category to which the owner of an entity belongs.
  • F. None of above.

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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:02 a.m.