Triple

T8241529
Position Surface form Disambiguated ID Type / Status
Subject Audiencia of Charcas E192546 entity
Predicate capital P234 FINISHED
Object Charcas E182607 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: Charcas | Statement: [Audiencia of Charcas, capital, Charcas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charcas
Context triple: [Audiencia of Charcas, capital, Charcas]
  • A. Charcas chosen
    Charcas is the former name of the Bolivian city now known as Sucre, a historic colonial center and constitutional capital of Bolivia.
  • B. Charjuy
    Charjuy is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
  • C. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • D. Chámeza
    Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
  • E. Charalá
    Charalá is a historic colonial town in the Santander Department of Colombia, known for its role in independence-era uprisings and its traditional Andean culture.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783f67708190a4e1c4078c3a6fb0 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd351871ac81909f8e4a72a6b99ac3 completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:47 p.m.