Triple
T13230465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paderborn |
E315002
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
PB
PB is the vehicle registration code used on license plates for the city of Paderborn in Germany.
|
E1028963
|
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: PB | Statement: [Paderborn, vehicleRegistrationCode, PB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PB Context triple: [Paderborn, vehicleRegistrationCode, PB]
-
A.
PB
PB is the official vehicle registration code for the Brazilian state of Paraíba.
-
B.
PB
PB is the affectionate shorthand for Princess Bubblegum, the intelligent and scientifically minded ruler of the Candy Kingdom in the animated series "Adventure Time."
-
C.
PB
PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
-
D.
PJ
PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
-
E.
PJ
PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
- 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: PB Triple: [Paderborn, vehicleRegistrationCode, PB]
Generated description
PB is the vehicle registration code used on license plates for the city of Paderborn in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PB Target entity description: PB is the vehicle registration code used on license plates for the city of Paderborn in Germany.
-
A.
PB
PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
-
B.
PB
PB is the official vehicle registration code for the Brazilian state of Paraíba.
-
C.
PB
PB is the affectionate shorthand for Princess Bubblegum, the intelligent and scientifically minded ruler of the Candy Kingdom in the animated series "Adventure Time."
-
D.
PJ
PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
-
E.
PJ
PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2c07488190ad07c544cca63a7d |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70408b2088190989c3b38a5d66495 |
completed | May 3, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70518acc0819089a987abfd42f928 |
completed | May 3, 2026, 8:19 a.m. |
Created at: April 9, 2026, 9:21 p.m.