Triple

T1894053
Position Surface form Disambiguated ID Type / Status
Subject Borneo campaign (1945) E41936 entity
Predicate location P40 FINISHED
Object Sandakan E112556 NE 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: Sandakan | Statement: [Borneo campaign (1945), location, Sandakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandakan
Context triple: [Borneo campaign (1945), location, Sandakan]
  • A. Sandakan chosen
    Sandakan is a coastal city in Sabah, Malaysia, known historically as a major port and gateway to the biodiverse rainforests and wildlife of Borneo.
  • B. Kota Kinabalu
    Kota Kinabalu is a coastal city in Malaysian Borneo known as the gateway to Mount Kinabalu and the biodiverse rainforests and marine parks of Sabah.
  • C. Kuching
    Kuching is the capital and largest city of the Malaysian state of Sarawak on the island of Borneo, known for its diverse culture, colonial architecture, and proximity to rainforest and wildlife attractions.
  • D. Penang
    Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
  • E. Ipoh
    Ipoh is a prominent city in northwestern Peninsular Malaysia, known for its colonial-era architecture, limestone hills and caves, and vibrant food scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1497df08190ad90dd89f76208ca completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae9e1f4819082afdd3b8e065c01 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.