Triple
T9641654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fürstenfeldbruck district |
E233084
|
entity |
| Predicate | hasLicensePlateCode |
P68833
|
FINISHED |
| Object |
FFB
FFB is the vehicle registration code used for the Fürstenfeldbruck district in Bavaria, Germany.
|
E811222
|
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: FFB | Statement: [Fürstenfeldbruck district, hasLicensePlateCode, FFB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FFB Context triple: [Fürstenfeldbruck district, hasLicensePlateCode, FFB]
-
A.
FBB
FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
-
B.
FBBE
FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
-
C.
FFS
FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
-
D.
FFS
FFS is a high-performance file system originally developed for BSD Unix that introduced improved disk layout and efficiency over earlier Unix file systems.
-
E.
FFS
FFS is the station code for Frankfurt (Main) Süd, a major railway station in Frankfurt, Germany.
- 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: FFB Triple: [Fürstenfeldbruck district, hasLicensePlateCode, FFB]
Generated description
FFB is the vehicle registration code used for the Fürstenfeldbruck district in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FFB Target entity description: FFB is the vehicle registration code used for the Fürstenfeldbruck district in Bavaria, Germany.
-
A.
FBB
FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
-
B.
FBBE
FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
-
C.
FFS
FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
-
D.
FFS
FFS is a high-performance file system originally developed for BSD Unix that introduced improved disk layout and efficiency over earlier Unix file systems.
-
E.
FFS
FFS is the station code for Frankfurt (Main) Süd, a major railway station in Frankfurt, Germany.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b566a2881909ab3f9502b1c3c8d |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1824e68a0819089c8e6e414575c5f |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d182fe6854819097b6fe60926c2a48 |
completed | April 4, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1835c916081908e3e1bb1e5499424 |
completed | April 4, 2026, 9:32 p.m. |
Created at: March 30, 2026, 8:12 p.m.