Triple

T9364433
Position Surface form Disambiguated ID Type / Status
Subject district of Pfaffenhofen an der Ilm E225363 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PAF
PAF is the vehicle registration code used on license plates for vehicles registered in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
 E794736 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: PAF | Statement: [district of Pfaffenhofen an der Ilm, vehicleRegistrationCode, PAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAF
Context triple: [district of Pfaffenhofen an der Ilm, vehicleRegistrationCode, PAF]
  • A. PAF
    PAF is a Palestinian political organization known as the Palestinian Arab Front, active in Palestinian national and leftist politics.
  • B. PAF
    PAF is the acronym for the Pakistan Air Force, the aerial warfare branch of Pakistan’s armed forces.
  • C. PAF
    PAF is the acronym for the Philippine Air Force, the aerial warfare branch of the Armed Forces of the Philippines.
  • D. PaF
    PaF is a Portuguese centre-right political coalition formed by the Social Democratic Party and the CDS – People's Party to contest national elections.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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: PAF
Triple: [district of Pfaffenhofen an der Ilm, vehicleRegistrationCode, PAF]
Generated description
PAF is the vehicle registration code used on license plates for vehicles registered in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAF
Target entity description: PAF is the vehicle registration code used on license plates for vehicles registered in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
  • A. PAF
    PAF is the acronym for the Philippine Air Force, the aerial warfare branch of the Armed Forces of the Philippines.
  • B. PAF
    PAF is the acronym for the Pakistan Air Force, the aerial warfare branch of Pakistan’s armed forces.
  • C. PAF
    PAF is a Palestinian political organization known as the Palestinian Arab Front, active in Palestinian national and leftist politics.
  • D. PaF
    PaF is a Portuguese centre-right political coalition formed by the Social Democratic Party and the CDS – People's Party to contest national elections.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f619e91081909c2ec17e89376295 completed April 4, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6ce1a0c8190aca34958935e0e59 completed April 4, 2026, 11:32 a.m.
Created at: March 30, 2026, 7:42 p.m.