Triple
T29115065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congreso |
E737021
|
entity |
| Predicate | hasOriginalRollingStockType |
P188427
|
FINISHED |
| Object | La Brugeoise cars (historical) |
—
|
NE NERFINISHED |
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: La Brugeoise cars (historical) | Statement: [Congreso, hasOriginalRollingStockType, La Brugeoise cars (historical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalRollingStockType Context triple: [Congreso, hasOriginalRollingStockType, La Brugeoise cars (historical)]
-
A.
hasRollingStockOrigin
Indicates that a piece of rolling stock originates from, or was initially based in, a particular location or source.
-
B.
maintainsRollingStockType
Indicates that one entity is responsible for the upkeep, servicing, or management of a particular type of rolling stock.
-
C.
hasPlannedRollingStockType
Indicates that a specific type of rolling stock is intended or scheduled to be used for a given service, route, or operation.
-
D.
usesRollingStock
Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
-
E.
previousRollingStockOrigin
Indicates that one entity is the place or source from which the immediately preceding piece of rolling stock (e.g., train car or unit) originated.
- F. None of above. chosen
Provenance (4 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: April 28, 2026, 11:21 a.m.