Triple

T18585047
Position Surface form Disambiguated ID Type / Status
Subject Nanticoke language E454214 entity
Predicate hasAlternativeName P39 FINISHED
Object Nentego 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: Nentego | Statement: [Nanticoke language, hasAlternativeName, Nentego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nentego
Context triple: [Nanticoke language, hasAlternativeName, Nentego]
  • A. Nentego chosen
    Nentego is the autonym of the Nanticoke people, an Indigenous group historically located in the Mid-Atlantic region of what is now the United States.
  • B. Argotec
    Argotec is an Italian aerospace engineering company specializing in the design and development of small satellites and space systems for scientific and commercial missions.
  • C. Tencteri
    The Tencteri were an ancient Germanic tribe known from Roman sources for inhabiting the region along the lower Rhine and participating in conflicts with the Roman Empire.
  • D. Sparx
    Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
  • E. Inktomi
    Inktomi was an early internet software and search engine company known for providing search technology to major web portals in the late 1990s and early 2000s.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b0dff08190a3be481faec34a3c completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.