Triple

T19945818
Position Surface form Disambiguated ID Type / Status
Subject Almerisa series E479419 entity
Predicate mainSubject P3 FINISHED
Object Almerisa 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: Almerisa | Statement: [Almerisa series, mainSubject, Almerisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almerisa
Context triple: [Almerisa series, mainSubject, Almerisa]
  • A. Almerisa chosen
    Almerisa is a photographic portrait series by Dutch artist Rineke Dijkstra that follows a Bosnian refugee girl over many years, documenting her physical and emotional transformation.
  • B. Almer
    Almer is a surname most notably associated with Christian Almer, a renowned 19th-century Swiss mountain guide and pioneering alpinist.
  • C. Almansa
    Almansa is a historic town in the province of Albacete, Spain, known for its imposing medieval castle and its role as the site of a major battle in the War of the Spanish Succession.
  • D. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • E. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6725dc81908c55ec5595be6778 completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.