Triple

T18501134
Position Surface form Disambiguated ID Type / Status
Subject Libero fare network E452066 entity
Predicate hasAbbreviation P43 FINISHED
Object Libero 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: Libero | Statement: [Libero fare network, hasAbbreviation, Libero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libero
Context triple: [Libero fare network, hasAbbreviation, Libero]
  • A. Libero chosen
    Libero is a regional public transport fare network and ticketing system serving Bern and surrounding areas in Switzerland.
  • B. Libera
    Libera is a volunteer-run, community-focused IRC network that hosts real-time discussions for free and open-source software projects and related communities.
  • C. Libera
    Libera is an ancient Roman goddess associated with fertility, wine, and freedom, often worshipped alongside Liber and Ceres.
  • D. Atleti
    Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
  • E. Libertà
    "Libertà" is a popular Italian song performed by Romina Power as part of the duo Al Bano & Romina Power, known for its melodic style and themes of freedom.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.