Triple

T1375827
Position Surface form Disambiguated ID Type / Status
Subject Pietro E29219 entity
Predicate frequencyRegion P27106 FINISHED
Object Italy E863 NE FINISHED

How this triple was built (3 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: Italy | Statement: [Pietro, frequencyRegion, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy
Context triple: [Pietro, frequencyRegion, Italy]
  • A. Italy chosen
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • B. Italo
    Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
  • C. ITA
    ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
  • D. Tuscany
    Tuscany is a central Italian region renowned for its rolling landscapes, historic cities like Florence and Siena, and its pivotal role in art, culture, and the birth of the Renaissance.
  • E. Senigallia
    Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: frequencyRegion
Context triple: [Pietro, frequencyRegion, Italy]
  • A. frequencyBand
    Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
  • B. frequency
    Indicates how often an event, action, or relationship occurs within a given period or context.
  • C. frequencyDependsOn
    Indicates that the frequency of one event, action, or state is determined or influenced by another factor or condition.
  • D. frequencyRequirement
    Indicates a constraint specifying how often an action, event, or condition must occur within a given context or time frame.
  • E. frequencyComparedTo
    Indicates how often one event or action occurs relative to another, expressing a comparison of their frequencies.
  • F. None of above. chosen

Provenance (5 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2f9b51c8190ad52fd8c151499be completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1a576c81909379c2c0e350cd12 completed March 8, 2026, 2:25 a.m.
PD Predicate disambiguation batch_69a4befcabdc8190a9f05d002603f81c completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c0335f7081908d50046ced4cdee0 completed March 1, 2026, 10:39 p.m.
Created at: March 1, 2026, 7:59 p.m.