Triple

T38260869
Position Surface form Disambiguated ID Type / Status
Subject Iliad Italia E1017923 entity
Predicate offersRoamingInEU P198029 FINISHED
Object yes LITERAL 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: yes | Statement: [Iliad Italia, offersRoamingInEU, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersRoamingInEU
Context triple: [Iliad Italia, offersRoamingInEU, yes]
  • A. supportsRoamingWith
    Indicates that one entity enables or is compatible with another entity’s ability to operate or be accessed while roaming across different networks or locations.
  • B. supportsRoamingScenarios
    Indicates that the subject is capable of functioning correctly across roaming scenarios, maintaining its behavior or services as users or devices move between locations or networks.
  • C. refersToCountryOfOperator
    Indicates that something is associated with, or points to, the country where its operating organization or operator is based.
  • D. supportsEsim
    Indicates that one entity provides compatibility with, or the ability to use, an embedded SIM (eSIM) for another entity.
  • E. internationalUsage
    Indicates that something is used or applied across multiple countries or in an international context.
  • F. None of above. chosen

Provenance (4 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_69f76de33e4481909099fa812709bd42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fec25f0fc48190b87ab1f9cd1eb0de completed May 9, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69fec079a770819098df7cc3049df954 completed May 9, 2026, 5:04 a.m.
PDg Predicate description generation batch_69fec25e3d708190be27135c57b189a5 completed May 9, 2026, 5:13 a.m.
Created at: May 3, 2026, 4:30 p.m.