Triple

T13826610
Position Surface form Disambiguated ID Type / Status
Subject Polkowice E332265 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DPL
DPL is the vehicle registration code assigned to cars registered in the town of Polkowice in Poland.
 E1064651 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: DPL | Statement: [Polkowice, vehicleRegistrationCode, DPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DPL
Context triple: [Polkowice, vehicleRegistrationCode, DPL]
  • A. DPL
    DPL is a U.S. government export control list identifying individuals and organizations prohibited from participating in export-related activities.
  • B. DPB
    DPB is the abbreviation for the APS Division of Physics of Beams, a unit of the American Physical Society focused on research and advancement in beam physics.
  • C. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • D. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • E. DPP
    DPP is a centrist political party in Japan known for advocating moderate economic reforms and pragmatic policy positions.
  • 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: DPL
Triple: [Polkowice, vehicleRegistrationCode, DPL]
Generated description
DPL is the vehicle registration code assigned to cars registered in the town of Polkowice in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DPL
Target entity description: DPL is the vehicle registration code assigned to cars registered in the town of Polkowice in Poland.
  • A. DPL
    DPL is a U.S. government export control list identifying individuals and organizations prohibited from participating in export-related activities.
  • B. DPB
    DPB is the abbreviation for the APS Division of Physics of Beams, a unit of the American Physical Society focused on research and advancement in beam physics.
  • C. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • D. DPP
    DPP is a centrist political party in Japan known for advocating moderate economic reforms and pragmatic policy positions.
  • E. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e85c6c81908bdf5d43b917d151 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b9d928ac81908867a99740d6c3a0 completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba6b2c208190b01e3a5ae872b14f completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:13 p.m.