Triple

T21320039
Position Surface form Disambiguated ID Type / Status
Subject Loreto Department E525586 entity
Predicate containsCity P294 FINISHED
Object Contamana 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: Contamana | Statement: [Loreto Department, containsCity, Contamana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Contamana
Context triple: [Loreto Department, containsCity, Contamana]
  • A. Contamana chosen
    Contamana is a small Peruvian city in the Amazon rainforest, serving as a regional center in the Loreto region and accessible primarily by river and air.
  • B. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • C. Sangalo
    Sangalo is the surname of Brazilian singer, songwriter, and television host Ivete Sangalo, one of Brazil’s most popular contemporary music artists.
  • D. Cumbolo
    Cumbolo is a roots reggae album by the Jamaican band Culture, known for its spiritually charged lyrics and classic late-1970s sound.
  • E. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ecfb7d481909cb73f95c3ddd9ed completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.