Triple

T3678134
Position Surface form Disambiguated ID Type / Status
Subject Forlì E78044 entity
Predicate hasProvinceCode P3446 FINISHED
Object FC
FC is the vehicle registration and administrative code used to identify the Italian province of Forlì-Cesena.
E379036 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: FC | Statement: [Forlì, hasProvinceCode, FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC
Context triple: [Forlì, hasProvinceCode, FC]
  • A. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • B. CF
    CF is the two-letter ISO 3166-1 alpha-2 country code assigned to the Central African Republic.
  • C. CF
    CF is a UK postcode area covering Cardiff and surrounding parts of South Wales, including the Vale of Glamorgan.
  • D. CF
    CF is the abbreviation for the Commonwealth Foundation, an intergovernmental organization that supports civil society and promotes democracy and development across the Commonwealth.
  • E. CF
    CF is the commonly used abbreviation for the Swiss Federal Council, the collective head of state and government of Switzerland.
  • 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: FC
Triple: [Forlì, hasProvinceCode, FC]
Generated description
FC is the vehicle registration and administrative code used to identify the Italian province of Forlì-Cesena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FC
Target entity description: FC is the vehicle registration and administrative code used to identify the Italian province of Forlì-Cesena.
  • A. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • B. CF
    CF is the two-letter ISO 3166-1 alpha-2 country code assigned to the Central African Republic.
  • C. CF
    CF is a UK postcode area covering Cardiff and surrounding parts of South Wales, including the Vale of Glamorgan.
  • D. CF
    CF is the commonly used abbreviation for the Swiss Federal Council, the collective head of state and government of Switzerland.
  • E. CF
    CF is the abbreviation for the Commonwealth Foundation, an intergovernmental organization that supports civil society and promotes democracy and development across the Commonwealth.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc46599188190a046eddb0d85c483 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3a50d40819081aad0c72bcaee9d completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c451a5048190bfd4675cd17de655 completed March 14, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4c494ad80819084d6aa10fe62a63b completed March 14, 2026, 2:14 a.m.
Created at: March 8, 2026, 3:25 p.m.