Triple
T21779346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundeseisenbahnvermögen |
E537670
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
BEV
BEV is a German federal authority that manages the remaining assets, liabilities, and certain personnel matters of the former state railways following the restructuring of Deutsche Bundesbahn and Deutsche Reichsbahn.
|
E1501428
|
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: BEV | Statement: [Bundeseisenbahnvermögen, shortName, BEV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEV Context triple: [Bundeseisenbahnvermögen, shortName, BEV]
-
A.
BEV
BEV is the National Rail station code for Beverley railway station in the East Riding of Yorkshire, England.
-
B.
BEV3
BEV3 is General Motors’ dedicated third-generation electric vehicle platform designed to underpin a wide range of battery-electric cars and crossovers.
-
C.
EV
EV is the stock ticker symbol for Eaton Vance, a U.S.-based investment management firm known for its mutual funds and wealth management services.
-
D.
EV
EV is the IATA airline designator assigned to ExpressJet Airlines, a former U.S. regional carrier.
-
E.
NEV
NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
- 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: BEV Triple: [Bundeseisenbahnvermögen, shortName, BEV]
Generated description
BEV is a German federal authority that manages the remaining assets, liabilities, and certain personnel matters of the former state railways following the restructuring of Deutsche Bundesbahn and Deutsche Reichsbahn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BEV Target entity description: BEV is a German federal authority that manages the remaining assets, liabilities, and certain personnel matters of the former state railways following the restructuring of Deutsche Bundesbahn and Deutsche Reichsbahn.
-
A.
BEV
BEV is the National Rail station code for Beverley railway station in the East Riding of Yorkshire, England.
-
B.
BEV3
BEV3 is General Motors’ dedicated third-generation electric vehicle platform designed to underpin a wide range of battery-electric cars and crossovers.
-
C.
EV
EV is the stock ticker symbol for Eaton Vance, a U.S.-based investment management firm known for its mutual funds and wealth management services.
-
D.
EV
EV is the IATA airline designator assigned to ExpressJet Airlines, a former U.S. regional carrier.
-
E.
NEV
NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462bde288190beef8c4388949132 |
completed | April 28, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a368226208190814c639e3eefc9b2 |
completed | May 17, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a0a375bce908190b7d1433c4ac500c9 |
completed | May 17, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37e0bed48190b0319d62eaff5d1e |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:52 p.m.