Triple

T8300382
Position Surface form Disambiguated ID Type / Status
Subject Wikimedia unified login E194335 entity
Predicate usedBy P260 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: [Wikimedia unified login, usedBy, Wiktionary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiktionary
Context triple: [Wikimedia unified login, usedBy, 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e879c588190a6f95cf7795541ad completed March 31, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd953b5fd881909696eb2647dc5f92 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:53 p.m.