Triple

T30799720
Position Surface form Disambiguated ID Type / Status
Subject northwestern Saudi Arabia E784331 entity
Predicate containsIslandArea P970 FINISHED
Object Umluj islands 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: Umluj islands | Statement: [northwestern Saudi Arabia, containsIslandArea, Umluj islands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsIslandArea
Context triple: [northwestern Saudi Arabia, containsIslandArea, Umluj islands]
  • A. hasIslandAreaApprox
    Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
  • B. isIslandArea
    Indicates that a given geographic area is classified as an island.
  • C. hasIsland chosen
    Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
  • D. isInIsland
    Indicates that one entity is located within the geographic boundaries of an island.
  • E. hasInlandArea
    Indicates that an entity possesses a portion of its territory or surface that is located away from coastal or shoreline areas.
  • 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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69ff38b960808190a8263348f1e5c0e4 completed May 9, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69ff37d97d9c8190849b2bac14f9af1d completed May 9, 2026, 1:34 p.m.
Created at: April 29, 2026, 8:42 p.m.