Triple

T668576
Position Surface form Disambiguated ID Type / Status
Subject Campione d’Italia E12920 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object CO
CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
E82769 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: CO | Statement: [Campione d’Italia, vehicleRegistrationCode, CO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CO
Context triple: [Campione d’Italia, vehicleRegistrationCode, CO]
  • A. CO
    CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
  • B. OC
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • C. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • D. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • E. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • 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: CO
Triple: [Campione d’Italia, vehicleRegistrationCode, CO]
Generated description
CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CO
Target entity description: CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
  • A. CO
    CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
  • B. OC
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • C. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • D. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • E. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ff921288190a2e5edb201ba69ee completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39d11508190a3bd0f118d122e1a completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c486463c8190905f9b0cbc0ba053 completed March 2, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce6be0b081909067962eef2ba7a2 completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.