Triple

T1776861
Position Surface form Disambiguated ID Type / Status
Subject Ned E39199 entity
Predicate componentOf P35 FINISHED
Object English onomasticon E82073 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: English onomasticon | Statement: [Ned, componentOf, English onomasticon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English onomasticon
Context triple: [Ned, componentOf, English onomasticon]
  • A. Onomasticon chosen
    Onomasticon is an early fourth-century geographical and biblical reference work by Eusebius of Caesarea that catalogs and explains place names mentioned in the Bible.
  • B. Ei Thesaurus
    Ei Thesaurus is a controlled vocabulary and indexing tool used to standardize subject terms for engineering and technical literature in the Ei Compendex database.
  • C. Isidore
    Isidore is the given first name of the French philosopher and sociologist Auguste Comte, founder of positivism.
  • D. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • E. UNBIS Thesaurus
    The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b839608190b32bc041267458d5 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99a81c08190b602858708263193 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.