Triple

T5310113
Position Surface form Disambiguated ID Type / Status
Subject Ricarda E119001 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Rica E301652 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: Rica | Statement: [Ricarda, hasDiminutiveForm, Rica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rica
Context triple: [Ricarda, hasDiminutiveForm, Rica]
  • A. Rica chosen
    Rica is one of the central fictional Persian travelers in Montesquieu’s epistolary novel "Persian Letters," whose observations and correspondence critique 18th-century French society and customs.
  • B. Plaridel
    Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
  • C. Pozuzo
    Pozuzo is a remote Peruvian town in the Pasco Region known for its unique Austro-German colonial heritage and cultural traditions.
  • D. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • E. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ffb1f08190aba4c1c860085c92 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.