Triple

T23404946
Position Surface form Disambiguated ID Type / Status
Subject Ilfov County E559609 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object IF
IF is the vehicle registration code used on license plates for vehicles registered in Ilfov County, Romania.
 E1021234 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: IF | Statement: [Ilfov County, vehicleRegistrationCode, IF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IF
Context triple: [Ilfov County, vehicleRegistrationCode, IF]
  • A. IF
    IF is the former IATA airline designator code assigned to Interflug, the former national airline of East Germany.
  • B. IFF
    IFF is the abbreviation for the Fraunhofer Institute for Factory Operation and Automation, a German research institute focused on advanced manufacturing and industrial automation technologies.
  • C. IFF
    IFF is a major global company specializing in the creation of flavors, fragrances, and cosmetic and household product ingredients for consumer brands.
  • D. IFN
    IFN is the IATA airport code for Isfahan International Airport, a major airport serving the city of Isfahan in central Iran.
  • E. IFS
    IFS is a subsystem of the SPHERE platform, likely responsible for a specific functional component such as data handling, control, or instrumentation within the overall system.
  • 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: IF
Triple: [Ilfov County, vehicleRegistrationCode, IF]
Generated description
IF is the vehicle registration code used on license plates for vehicles registered in Ilfov County, Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IF
Target entity description: IF is the vehicle registration code used on license plates for vehicles registered in Ilfov County, Romania.
  • A. IF chosen
    IF is the former IATA airline designator code assigned to Interflug, the former national airline of East Germany.
  • B. IFF
    IFF is the abbreviation for the Fraunhofer Institute for Factory Operation and Automation, a German research institute focused on advanced manufacturing and industrial automation technologies.
  • C. IFF
    IFF is a major global company specializing in the creation of flavors, fragrances, and cosmetic and household product ingredients for consumer brands.
  • D. IFN
    IFN is the IATA airport code for Isfahan International Airport, a major airport serving the city of Isfahan in central Iran.
  • E. IFS
    IFS is a subsystem of the SPHERE platform, likely responsible for a specific functional component such as data handling, control, or instrumentation within the overall system.
  • F. None of above.

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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e27db88190b37375b38073291c completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df67cac8190868ab0068248be07 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5ff391208190a1e5e5d3604de8fb completed May 19, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0c609b4e108190a8abe634d326f62d completed May 19, 2026, 1:07 p.m.
Created at: April 17, 2026, 5:38 p.m.