Triple

T1972081
Position Surface form Disambiguated ID Type / Status
Subject Perlis E42822 entity
Predicate ferryConnection P1831 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: [Perlis, ferryConnection, Langkawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langkawi
Context triple: [Perlis, ferryConnection, 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: ferryConnection
Context triple: [Perlis, ferryConnection, Langkawi]
  • A. hasFerryService
    Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
  • B. linkedByFerryTo chosen
    Indicates that one place is connected to another by a ferry route that enables transport between them.
  • C. hasFerryPort
    Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
  • D. ferryOperator
    Indicates that one entity operates, manages, or runs a ferry service for another entity or in a particular context.
  • E. eraOfMajorUseAsFerryTerminal
    Indicates the time period during which a location was primarily used as a ferry terminal.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f275408190affa93f8cb6a8184 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbdb5d7c8190ab3e7c368041c641 completed March 8, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69abaff7d4a48190ab0d51aefb1c4e31 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.