Triple

T9529118
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Singkawang E229840 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Singkawang E44667 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: Singkawang | Statement: [Mayor of Singkawang, appliesToJurisdiction, Singkawang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singkawang
Context triple: [Mayor of Singkawang, appliesToJurisdiction, Singkawang]
  • A. Singkawang chosen
    Singkawang is a city in West Kalimantan, Indonesia, known for its large Chinese Indonesian community and vibrant Chinese cultural festivals, especially its Cap Go Meh celebrations.
  • B. Ketapang
    Ketapang is a key ferry port town in East Java, Indonesia, serving as a primary gateway for sea crossings between Java and Bali.
  • C. Bontang
    Bontang is an industrial coastal city in East Kalimantan, Indonesia, known for its major port facilities and large petrochemical and fertilizer industries.
  • D. Padang Besar
    Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
  • E. Keningau
    Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b1b93481909812245ac14e4988 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190d741588190a2cced8da13036bb completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 8 p.m.