Triple

T20990194
Position Surface form Disambiguated ID Type / Status
Subject Oliva E516999 entity
Predicate hasAlternativeName P39 FINISHED
Object Oliva (German name)
Oliva (German name) is the German-language form of the given name "Oliva," used primarily in German-speaking countries.
E1461007 NE FINISHED

How this triple was built (4 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: Oliva (German name) | Statement: [Oliva, hasAlternativeName, Oliva (German name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliva (German name)
Context triple: [Oliva, hasAlternativeName, Oliva (German name)]
  • A. Iller (German)
    Iller (German) is the German name for the Iller River, a tributary of the Danube in southern Germany.
  • B. Oldenburger
    Oldenburger is a surname most notably associated with Rufus Oldenburger, an American mathematician and engineer known for his work in control theory and applied mathematics.
  • C. Oels
    Oels is a town in present-day Oleśnica, Poland, historically part of Silesia and known as the birthplace of notable figures such as the German artist Sigmar Polke.
  • D. Roitzsch
    Roitzsch is a village-level subdivision of the town of Wurzen in the Free State of Saxony, Germany.
  • E. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oliva (German name)
Triple: [Oliva, hasAlternativeName, Oliva (German name)]
Generated description
Oliva (German name) is the German-language form of the given name "Oliva," used primarily in German-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oliva (German name)
Target entity description: Oliva (German name) is the German-language form of the given name "Oliva," used primarily in German-speaking countries.
  • A. Iller (German)
    Iller (German) is the German name for the Iller River, a tributary of the Danube in southern Germany.
  • B. Oldenburger
    Oldenburger is a surname most notably associated with Rufus Oldenburger, an American mathematician and engineer known for his work in control theory and applied mathematics.
  • C. Oels
    Oels is a town in present-day Oleśnica, Poland, historically part of Silesia and known as the birthplace of notable figures such as the German artist Sigmar Polke.
  • D. Roitzsch
    Roitzsch is a village-level subdivision of the town of Wurzen in the Free State of Saxony, Germany.
  • E. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • F. None of above. chosen

Provenance (5 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5f49c8190a5c031eceba9ebf7 completed April 21, 2026, 4:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fc9905c81909b42a0bd6ab59fef completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a09316d8a5081909bd21ea01422be47 completed May 17, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0932384acc8190a4d2cbdc208d4969 completed May 17, 2026, 3:12 a.m.
Created at: April 16, 2026, 1:49 p.m.