Triple
T12191405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fallersleben |
E290470
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | WOB |
E362815
|
NE FINISHED |
How this triple was built (2 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: WOB | Statement: [Fallersleben, hasVehicleRegistrationCode, WOB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WOB Context triple: [Fallersleben, hasVehicleRegistrationCode, WOB]
-
A.
WOB
chosen
WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
-
B.
WLO
WLO is the National Rail station code used to identify London Waterloo Underground station in the UK rail network.
-
C.
WYB
WYB is the National Rail station code for Weybridge railway station in Surrey, England.
-
D.
WOR
WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
-
E.
WINK
WINK is a type of regional multiple-unit train developed and marketed by Stadler Rail for efficient, flexible passenger service.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c5340248190b79379423f3a3ca1 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b240f88190af916054869c3b95 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.