Triple

T9080409
Position Surface form Disambiguated ID Type / Status
Subject Silhouette Island E217604 entity
Predicate isLargelyUndeveloped P87091 FINISHED
Object true 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: true | Statement: [Silhouette Island, isLargelyUndeveloped, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLargelyUndeveloped
Context triple: [Silhouette Island, isLargelyUndeveloped, true]
  • A. isLessDevelopedThan
    Indicates that one entity has a lower level of development, progress, or advancement compared to another entity.
  • B. neverFullyColonizedBy
    Indicates that no external power ever achieved complete political, economic, or administrative control over the referenced entity.
  • C. coDevelopmentCountry
    Indicates that two or more countries jointly participated in the development of a project, product, or initiative.
  • D. developedRegion
    Indicates that a specified region has been developed, typically through economic growth, infrastructure, or urbanization, as a result of some agent or process.
  • E. isSmallIslandDevelopingState
    Indicates that the entity is classified as a small island developing state, typically characterized by limited land area, insularity, and development challenges associated with small island economies.
  • F. None of above. chosen

Provenance (4 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
PD Predicate disambiguation batch_69cc65fa79bc81908b46f05c8bba920f completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc6a3c78388190a7436acc0e44ff55 completed April 1, 2026, 12:43 a.m.
Created at: March 30, 2026, 7:13 p.m.