Triple
T9979798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dresden Hauptbahnhof |
E196421
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object | DD |
E196422
|
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: DD | Statement: [Dresden Hauptbahnhof, railwayStationCode, DD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DD Context triple: [Dresden Hauptbahnhof, railwayStationCode, DD]
-
A.
DD
DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
DD
DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
-
C.
DD
chosen
DD is the vehicle registration code used on license plates for the German city of Dresden.
-
D.
DD
DD is the U.S. Navy hull classification symbol used to designate destroyer warships.
-
E.
dd
dd is a Unix command-line utility used to convert and copy raw data at a low level, often for tasks like disk imaging and backup.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8b9aca881908a9b5dfd7e0de4ba |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257df420881909edac01b4e331c1e |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:49 p.m.