Triple

T2462705
Position Surface form Disambiguated ID Type / Status
Subject Chimborazo Province E54567 entity
Predicate hasNotableCity P2813 FINISHED
Object Alausí E274474 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: Alausí | Statement: [Chimborazo Province, hasNotableCity, Alausí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alausí
Context triple: [Chimborazo Province, hasNotableCity, Alausí]
  • A. Alausí chosen
    Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
  • B. Alcohuaz
    Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
  • C. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • D. Ataypura
    "Ataypura" is a traditional Peruvian song best known internationally through Yma Sumac’s iconic vocal performance, showcasing Andean melodies and extraordinary vocal range.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd11f093c8190877db3026d430bd5 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cdd404c8190b86f240789e68925 completed March 9, 2026, 11:50 p.m.
Created at: March 6, 2026, 9:44 p.m.