Triple

T17430691
Position Surface form Disambiguated ID Type / Status
Subject Aggius E423859 entity
Predicate hasRegionCode P3446 FINISHED
Object IT-SS
IT-SS is the provincial code for the Province of Sassari in the Sardinia region of Italy.
E1268801 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: IT-SS | Statement: [Aggius, hasRegionCode, IT-SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IT-SS
Context triple: [Aggius, hasRegionCode, IT-SS]
  • A. ITS
    ITS is an acronym commonly used to refer to an Integrated Training Service, typically denoting a coordinated system or provider that delivers comprehensive training solutions.
  • B. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • C. ITS
    ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
  • D. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • E. IT-BS
    IT-BS is the ISO 3166-2 code designating the Italian province of Brescia in the Lombardy region.
  • 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: IT-SS
Triple: [Aggius, hasRegionCode, IT-SS]
Generated description
IT-SS is the provincial code for the Province of Sassari in the Sardinia region of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IT-SS
Target entity description: IT-SS is the provincial code for the Province of Sassari in the Sardinia region of Italy.
  • A. ITS
    ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
  • B. ITS
    ITS is an acronym commonly used to refer to an Integrated Training Service, typically denoting a coordinated system or provider that delivers comprehensive training solutions.
  • C. ITS
    ITS is a leading Indonesian public technological university located in Surabaya, renowned for its engineering and science programs.
  • D. IT-TS
    IT-TS is the ISO 3166-2 code that uniquely identifies the Province of Trieste in Italy.
  • E. IT-BS
    IT-BS is the ISO 3166-2 code designating the Italian province of Brescia in the Lombardy region.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448ffb9c8819099fabfeebdc06883 completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afed3cb0819081fac1f1e59434f4 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0b04bf48190813232c7be3d37e7 completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1581cfc81908d724a8b324e698e completed May 11, 2026, 10:37 a.m.
Created at: April 10, 2026, 5:46 a.m.