Triple

T23003340
Position Surface form Disambiguated ID Type / Status
Subject Pieterssen E572690 entity
Predicate hasEtymologicalRoot P5801 FINISHED
Object Petrus 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: Petrus | Statement: [Pieterssen, hasEtymologicalRoot, Petrus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrus
Context triple: [Pieterssen, hasEtymologicalRoot, Petrus]
  • A. Petrus chosen
    Petrus is the Latin form of the name Peter, historically used in religious and classical contexts and serving as the root for various European given names.
  • B. Pollachius
    Pollachius is a genus of marine fish in the cod family that includes commercially important species commonly known as pollock.
  • C. Lambertus
    Lambertus is a Latinized given name historically used in European contexts, particularly in religious and scholarly settings.
  • D. Pétrusse
    Pétrusse is a small river in Luxembourg that flows through Luxembourg City, contributing to the scenic valleys and fortifications around the capital.
  • E. Svatý Petr
    Svatý Petr is a popular mountain area and ski resort sector of Špindlerův Mlýn in the Krkonoše (Giant) Mountains of the Czech Republic.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183549bdc81908fdcd44e2c92f7c4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.