Triple
T21779430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DR |
E537671
|
entity |
| Predicate | operatedMaintenanceDepots |
P39380
|
FINISHED |
| Object | railway depots in Germany |
—
|
LITERAL 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: railway depots in Germany | Statement: [DR, operatedMaintenanceDepots, railway depots in Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedMaintenanceDepots Context triple: [DR, operatedMaintenanceDepots, railway depots in Germany]
-
A.
depot
Indicates that an entity serves as a storage or distribution center location for another entity, such as goods, vehicles, or resources.
-
B.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
C.
operatedStationsIn
Indicates that an entity managed or ran the operations of one or more stations within a specified area or system.
-
D.
depotFor
Indicates that one entity serves as a storage or distribution center location dedicated to supporting or supplying another entity.
-
E.
hasMaintenanceFacilities
chosen
Indicates that one entity provides or contains facilities where the other entity can be serviced, repaired, or maintained.
- F. None of above.
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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462bde288190beef8c4388949132 |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.