Triple
T3417068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borsigwerke |
E72033
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BW
BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
|
E356722
|
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: BW | Statement: [Borsigwerke, hasStationCode, BW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BW Context triple: [Borsigwerke, hasStationCode, BW]
-
A.
BW
BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
-
B.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
-
C.
BWG
BWG is the IATA airport code for Bowling Green–Warren County Regional Airport in Bowling Green, Kentucky, United States.
-
D.
BL
BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
-
E.
BL
BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
- 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: BW Triple: [Borsigwerke, hasStationCode, BW]
Generated description
BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BW Target entity description: BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
-
A.
BW
BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
-
B.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
-
C.
BWG
BWG is the IATA airport code for Bowling Green–Warren County Regional Airport in Bowling Green, Kentucky, United States.
-
D.
BL
BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
-
E.
BL
BL is the postcode area in the United Kingdom that covers Bolton and surrounding parts of Greater Manchester and Lancashire.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92c20fc81909b5debced20ec083 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3546c88008190980a51195251af91 |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b355a7dc308190ba8ab0db251592a2 |
completed | March 13, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3566da174819086160cd254e0a443 |
completed | March 13, 2026, 12:12 a.m. |
Created at: March 8, 2026, 3:15 p.m.