Triple
T9540776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dingolfing-Landau |
E230149
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
DGF
DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
|
E805675
|
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: DGF | Statement: [Dingolfing-Landau, hasVehicleRegistrationCode, DGF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGF Context triple: [Dingolfing-Landau, hasVehicleRegistrationCode, DGF]
-
A.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
B.
DGN
DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
-
C.
GdF
GdF is the commonly used abbreviation for Italy’s Guardia di Finanza, a militarized police force responsible for financial crime, smuggling, and border control.
-
D.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
-
E.
DFG
DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
- 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: DGF Triple: [Dingolfing-Landau, hasVehicleRegistrationCode, DGF]
Generated description
DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DGF Target entity description: DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
-
A.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
B.
DGN
DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
-
C.
GdF
GdF is the commonly used abbreviation for Italy’s Guardia di Finanza, a militarized police force responsible for financial crime, smuggling, and border control.
-
D.
DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
-
E.
DFG
DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6538b08190a9f81304214a876d |
completed | April 4, 2026, 5:37 p.m. |
| NEDg | Description generation | batch_69d14d44b7f08190b66fecb315b37535 |
completed | April 4, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14e0823e881908ed723d20f14789b |
completed | April 4, 2026, 5:44 p.m. |
Created at: March 30, 2026, 8:01 p.m.