Triple

T1843917
Position Surface form Disambiguated ID Type / Status
Subject Kedah E41239 entity
Predicate hasIslandDestination P970 FINISHED
Object Langkawi E205791 NE FINISHED

How this triple was built (3 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: Langkawi | Statement: [Kedah, hasIslandDestination, Langkawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langkawi
Context triple: [Kedah, hasIslandDestination, Langkawi]
  • A. Langkawi Archipelago chosen
    The Langkawi Archipelago is a popular Malaysian island group in the Andaman Sea, renowned for its beaches, rainforest-covered hills, and duty-free resort tourism.
  • B. Labuan
    Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
  • C. Labuan
    Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
  • D. Penang
    Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
  • E. Cameron Highlands
    Cameron Highlands is a popular Malaysian hill station known for its cool climate, tea plantations, and scenic highland landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIslandDestination
Context triple: [Kedah, hasIslandDestination, Langkawi]
  • A. hasIsland chosen
    Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
  • B. hasIslandNearby
    Indicates that one location is situated close to an island in geographic space.
  • C. meetsInIsland
    Indicates that two or more entities meet with each other at a location that is an island.
  • D. isInIsland
    Indicates that one entity is located within the geographic boundaries of an island.
  • E. hasSisterIsland
    Indicates that one island is considered a sister island of another, typically implying a special paired or closely associated relationship between them.
  • F. None of above.

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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf48e3048190a79824fd92e0079f completed March 8, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69abafdb0d2c8190a67f584e67979fa3 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.