Triple

T22467254
Position Surface form Disambiguated ID Type / Status
Subject Padang Bai port E555386 entity
Predicate regionServed P82 FINISHED
Object Lombok NE NERFINISHED

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: Lombok | Statement: [Padang Bai port, regionServed, Lombok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lombok
Context triple: [Padang Bai port, regionServed, Lombok]
  • A. Lombok chosen
    Lombok is an Indonesian island east of Bali, known for its volcanic Mount Rinjani, beaches, and Sasak culture.
  • B. Bisa
    Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • C. Kuito
    Kuito is a city in central Angola that serves as the capital of Bié Province and a key hub on the country’s central plateau.
  • D. Laworo
    Laworo is a town in Indonesia that serves as one of the urban centers within the province of Southeast Sulawesi.
  • E. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b84e4a88190b6fbfdbd754ba1c5 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.