Triple

T19921596
Position Surface form Disambiguated ID Type / Status
Subject DJI Avata E478807 entity
Predicate supportsGNSS P137837 FINISHED
Object Galileo 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: Galileo | Statement: [DJI Avata, supportsGNSS, Galileo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galileo
Context triple: [DJI Avata, supportsGNSS, Galileo]
  • A. Galileo chosen
    Galileo is the European Union's global navigation satellite system designed to provide highly accurate positioning and timing services worldwide.
  • B. Galileo
    Galileo is a popular German television knowledge magazine show that presents scientific, technological, and everyday topics in an accessible, entertaining format.
  • C. Galileo
    Galileo is a large-scale kinetic sculpture by artist Arthur Ganson, featuring a complex system of gears and motion that explores themes of time, mechanics, and perception.
  • D. Galileo
    "Galileo" is a 1975 film adaptation of Bertolt Brecht’s play about the life and trials of the astronomer Galileo Galilei, directed by Joseph Losey.
  • E. Galileo
    Galileo was a legendary Irish Thoroughbred racehorse and influential sire, renowned for winning the 2001 Epsom Derby and becoming one of the most important stallions in modern racing and breeding.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c6919c8190a96106532580b6b6 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.