Triple
T7319384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radom |
E168498
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
WR
WR is the vehicle registration code assigned to the city of Radom in Poland.
|
E657199
|
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: WR | Statement: [Radom, vehicleRegistrationCode, WR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WR Context triple: [Radom, vehicleRegistrationCode, WR]
-
A.
WR
WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
-
B.
WR
WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
-
C.
WR
WR is the standard abbreviation for World Rugby, the international governing body for the sport of rugby union.
-
D.
WR
WR is the official abbreviation for the Western Railway zone of Indian Railways, which operates major rail services across western India.
-
E.
WR
WR is the station code for Wrocław Główny, the main railway station in Wrocław, Poland.
- 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: WR Triple: [Radom, vehicleRegistrationCode, WR]
Generated description
WR is the vehicle registration code assigned to the city of Radom in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WR Target entity description: WR is the vehicle registration code assigned to the city of Radom in Poland.
-
A.
WR
WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
-
B.
WR
WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
-
C.
WR
WR is the standard abbreviation for World Rugby, the international governing body for the sport of rugby union.
-
D.
WR
WR is the station code for Wrocław Główny, the main railway station in Wrocław, Poland.
-
E.
WR
WR is the official abbreviation for the Western Railway zone of Indian Railways, which operates major rail services across western India.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef18b7bc81908a9ee405d684f304 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eefcd7148190818d581cbde9aff1 |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef95787c819086684c4286166b43 |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0644ebc8190971075d75e3a76d0 |
completed | March 28, 2026, 3:14 p.m. |
Created at: March 27, 2026, 3:02 p.m.