Triple

T8302666
Position Surface form Disambiguated ID Type / Status
Subject Wikifunctions E194383 entity
Predicate hasSisterProject P14971 FINISHED
Object Wiktionary E37903 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: Wiktionary | Statement: [Wikifunctions, hasSisterProject, Wiktionary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiktionary
Context triple: [Wikifunctions, hasSisterProject, Wiktionary]
  • A. Wiktionary chosen
    Wiktionary is a collaboratively edited, multilingual online dictionary and lexical resource.
  • B. Dictionary.com
    Dictionary.com is a popular online reference website that provides definitions, synonyms, pronunciations, and other language resources for English words and phrases.
  • C. OED
    OED is the acronym commonly used for the Oregon Employment Department, the state agency responsible for administering unemployment insurance and workforce services in Oregon.
  • D. OED
    OED is the commonly used abbreviation for Norway’s Ministry of Petroleum and Energy, the government body responsible for managing the country’s petroleum and energy resources.
  • E. Merriam-Webster
    Merriam-Webster is a renowned American publisher best known for its authoritative dictionaries and other English language reference works.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8a45348190a7895b33abcb64c9 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce39403b548190aa7460a41b59011b completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 5:53 p.m.