Triple

T7952886
Position Surface form Disambiguated ID Type / Status
Subject Paradisaeidae E184657 entity
Predicate hasGenus P25997 FINISHED
Object Loria E149563 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: Loria | Statement: [Paradisaeidae, hasGenus, Loria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loria
Context triple: [Paradisaeidae, hasGenus, Loria]
  • A. Loria chosen
    Loria is a surname most prominently associated with Jeffrey Loria, an American art dealer and former owner of Major League Baseball’s Miami Marlins.
  • B. Lasserre
    Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
  • C. Médard
    Médard is a masculine French given name of Christian origin, historically associated with Saint Médard and used in various Francophone regions.
  • D. Lorium
    Lorium was an ancient Roman settlement along the Via Aurelia in Etruria, known as an imperial villa site associated with Emperor Antoninus Pius.
  • E. Valadier
    Valadier is an Italian surname most notably associated with Giuseppe Valadier, a prominent neoclassical architect and urban planner of the late 18th and early 19th centuries.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5e51c88190abcc0534723e3660 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe05d89a08190ae5bd4092d007442 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.