Triple

T778775
Position Surface form Disambiguated ID Type / Status
Subject Nicaragua E16448 entity
Predicate hasVolcano P6356 FINISHED
Object Momotombo E86877 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: Momotombo | Statement: [Nicaragua, hasVolcano, Momotombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Momotombo
Context triple: [Nicaragua, hasVolcano, Momotombo]
  • A. Momotombo chosen
    Momotombo is a prominent active stratovolcano in western Nicaragua, known for its symmetrical cone shape and historical eruptions overlooking Lake Managua.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Fuego
    Fuego is an active stratovolcano in Guatemala known for its frequent explosive eruptions and dramatic ash plumes.
  • D. Chaguanas
    Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
  • E. Horcón
    Horcón is a small rural village in Chile’s Elqui Valley, known for its scenic Andean surroundings and traditional agricultural lifestyle.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74f886081909c27b786e3adbe32 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6891fb80481909ed2ce30789c945e completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:37 p.m.