Triple

T8035780
Position Surface form Disambiguated ID Type / Status
Subject Province of Lecco E187102 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object LC
LC is the vehicle registration code used on license plates for vehicles registered in the Province of Lecco in Italy.
E708902 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: LC | Statement: [Province of Lecco, vehicleRegistrationCode, LC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LC
Context triple: [Province of Lecco, vehicleRegistrationCode, LC]
  • A. LC
    LC is the two-letter ISO 3166-1 alpha-2 country code assigned to Saint Lucia.
  • B. LC
    LC is the second-generation Holden Torana series produced in the late 1960s and early 1970s, notable for introducing six-cylinder performance variants in the compact Australian car lineup.
  • C. LC
    LC is the stock ticker symbol for LendingClub, a U.S.-based financial services company known for its online lending and banking platform.
  • D. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • E. CL
    CL is the vehicle registration code used on license plates for vehicles registered in Peru’s Callao 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: LC
Triple: [Province of Lecco, vehicleRegistrationCode, LC]
Generated description
LC is the vehicle registration code used on license plates for vehicles registered in the Province of Lecco in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LC
Target entity description: LC is the vehicle registration code used on license plates for vehicles registered in the Province of Lecco in Italy.
  • A. LC
    LC is the two-letter ISO 3166-1 alpha-2 country code assigned to Saint Lucia.
  • B. LC
    LC is the second-generation Holden Torana series produced in the late 1960s and early 1970s, notable for introducing six-cylinder performance variants in the compact Australian car lineup.
  • C. LC
    LC is the stock ticker symbol for LendingClub, a U.S.-based financial services company known for its online lending and banking platform.
  • D. CL
    CL is the common abbreviation for Japan’s professional baseball Central League.
  • E. CL
    CL is the vehicle registration code used on license plates for vehicles registered in Peru’s Callao 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56f493908190b68e791cdbe725fa completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc5ca6efbc819082f4c643446da354 completed March 31, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_69cc5d6d93f08190b17d6c7a4fad2cf0 completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 5:22 p.m.