Triple

T21558564
Position Surface form Disambiguated ID Type / Status
Subject Moxeno E531954 entity
Predicate hasAlternativeName P39 FINISHED
Object Moxos 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: Moxos | Statement: [Moxeno, hasAlternativeName, Moxos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moxos
Context triple: [Moxeno, hasAlternativeName, Moxos]
  • A. Moxos chosen
    Moxos is a historical region in the Bolivian lowlands, known for its indigenous cultures, extensive pre-Columbian earthworks, and rich Amazonian wetlands.
  • B. Paraguachón
    Paraguachón is a small but important border town that serves as a key crossing point for trade and travel between Colombia and Venezuela.
  • C. Alto de Menegua
    Alto de Menegua is a geographic landmark in Colombia’s Meta Department, known as a scenic plains area near Puerto López often associated with the country’s geographic center.
  • D. Naguanagua
    Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
  • E. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e21c5c8190aa32795e41f1550e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.