Triple

T15857377
Position Surface form Disambiguated ID Type / Status
Subject Agenzia delle Dogane e dei Monopoli E384494 entity
Predicate shortName P43 FINISHED
Object ADM
ADM is the Italian Customs and Monopolies Agency responsible for regulating customs, excise duties, and state-controlled gaming and monopoly sectors in Italy.
E1179979 NE FINISHED

How this triple was built (4 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: ADM | Statement: [Agenzia delle Dogane e dei Monopoli, shortName, ADM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADM
Context triple: [Agenzia delle Dogane e dei Monopoli, shortName, ADM]
  • A. ADM
    ADM is the stock ticker symbol for Archer Daniels Midland, a major American global food processing and commodities trading corporation.
  • B. ADM
    ADM is a creative academic institution focused on education and research in the fields of art, design, and media.
  • C. ADM
    ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
  • D. ADM(IM)
    ADM(IM) is the abbreviated designation for the Assistant Deputy Minister responsible for information management within a governmental or organizational structure.
  • E. ARAM
    ARAM is a fast-paced League of Legends game mode where teams fight continuously on a single narrow bridge-like map with randomly assigned champions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ADM
Triple: [Agenzia delle Dogane e dei Monopoli, shortName, ADM]
Generated description
ADM is the Italian Customs and Monopolies Agency responsible for regulating customs, excise duties, and state-controlled gaming and monopoly sectors in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ADM
Target entity description: ADM is the Italian Customs and Monopolies Agency responsible for regulating customs, excise duties, and state-controlled gaming and monopoly sectors in Italy.
  • A. ADM
    ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
  • B. ADM
    ADM is a creative academic institution focused on education and research in the fields of art, design, and media.
  • C. ADM
    ADM is the stock ticker symbol for Archer Daniels Midland, a major American global food processing and commodities trading corporation.
  • D. ADM(IM)
    ADM(IM) is the abbreviated designation for the Assistant Deputy Minister responsible for information management within a governmental or organizational structure.
  • E. ARAM
    ARAM is a fast-paced League of Legends game mode where teams fight continuously on a single narrow bridge-like map with randomly assigned champions.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555808688190882b610109d1e5f4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14c1e508190a182db216cc4e326 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41b33cc819096553ee33b144d36 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4a168108190b6edf41830aa4cd0 completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.