Triple

T10158995
Position Surface form Disambiguated ID Type / Status
Subject EFnet E233840 entity
Predicate fullName P16 FINISHED
Object Eris Free Network E233841 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: Eris Free Network | Statement: [EFnet, fullName, Eris Free Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eris Free Network
Context triple: [EFnet, fullName, Eris Free Network]
  • A. Libero fare network
    The Libero fare network is a regional integrated public transport tariff system in Switzerland that coordinates ticketing and fares across multiple transit operators and modes.
  • B. Emerald Network
    The Emerald Network is a pan-European ecological network of protected areas aimed at conserving habitats and species of special importance under the Bern Convention.
  • C. Undernet chosen
    Undernet is one of the largest and oldest Internet Relay Chat (IRC) networks, known for its extensive global user base and role in the early development of online chat communities.
  • D. Sunshine Network
    Sunshine Network is a regional sports television network known for broadcasting local and collegiate sporting events.
  • E. Aurora Network
    Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.