Triple

T16728007
Position Surface form Disambiguated ID Type / Status
Subject WBGG E406512 entity
Predicate serves P98 FINISHED
Object Kuching E61425 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: Kuching | Statement: [WBGG, serves, Kuching]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuching
Context triple: [WBGG, serves, Kuching]
  • A. Kuching chosen
    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.
  • 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. Ipoh
    Ipoh is a prominent city in northwestern Peninsular Malaysia, known for its colonial-era architecture, limestone hills and caves, and vibrant food scene.
  • D. Sandakan
    Sandakan is a coastal city in Sabah, Malaysia, known historically as a major port and gateway to the biodiverse rainforests and wildlife of Borneo.
  • E. Tenggarong
    Tenggarong is a town in East Kalimantan, Indonesia, that serves as the capital of Kutai Kartanegara Regency and a cultural center of the historic Kutai region.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a519a89081909456bb6fc25d9234 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:20 a.m.