Triple

T18526730
Position Surface form Disambiguated ID Type / Status
Subject Lombok Island E452737 entity
Predicate hasCraterLake P18447 FINISHED
Object Segara Anak 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: Segara Anak | Statement: [Lombok Island, hasCraterLake, Segara Anak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segara Anak
Context triple: [Lombok Island, hasCraterLake, Segara Anak]
  • A. Segara Anak chosen
    Segara Anak is a crater lake nestled within the caldera of Indonesia’s Mount Rinjani, known for its striking blue waters and dramatic volcanic surroundings.
  • B. Dandang Gendis
    Dandang Gendis is another name for Sri Maharaja Kertajaya, a notable king of the ancient Javanese Kingdom of Kediri in Indonesia.
  • C. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • D. Serat Wulangreh
    Serat Wulangreh is a classic Javanese didactic poem traditionally attributed to Pakubuwono IV of Surakarta, offering moral and spiritual guidance in poetic form.
  • E. Banda-Banda
    Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53392618c8190b44de46b80ee6a6d completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.