Triple

T1053808
Position Surface form Disambiguated ID Type / Status
Subject Mount Rinjani E22756 entity
Predicate hasLake P1025 FINISHED
Object Segara Anak E121877 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: Segara Anak | Statement: [Mount Rinjani, hasLake, Segara Anak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segara Anak
Context triple: [Mount Rinjani, hasLake, 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. Pedaiah
    Pedaiah is a biblical figure mentioned in the Old Testament as one of the sons associated with the royal line of Judah.
  • C. Pami Dua
    Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
  • D. Anung Un Rama
    Anung Un Rama is the true demonic name of Hellboy, a powerful half-demon paranormal investigator from Mike Mignola’s comic series.
  • E. Ngalop
    Ngalop are the dominant ethnic group of Bhutan, traditionally associated with Tibetan Buddhist culture, Dzongkha language, and the country’s political and religious institutions.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d669448190955507e2e4975b9f completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac429f0580819082d5a2cc6129cb1e completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.