Triple
T37592772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beasain |
E935299
|
entity |
| Predicate | hasRailwayManufacturingHeritage |
P2411
|
FINISHED |
| Object | CAF workshops |
—
|
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: CAF workshops | Statement: [Beasain, hasRailwayManufacturingHeritage, CAF workshops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailwayManufacturingHeritage Context triple: [Beasain, hasRailwayManufacturingHeritage, CAF workshops]
-
A.
hasIndustrialHeritage
chosen
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
B.
railwayHeritageFrom
Indicates that something derives its historical or cultural significance from a particular railway or railway-related source.
-
C.
hasRailroadHistory
Indicates that an entity is associated with, involved in, or notable for historical events, operations, or developments related to railroads.
-
D.
hasRailroadHistoryWith
Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
-
E.
railwayHeritageFeature
Indicates that something is a feature associated with railway heritage, such as historically significant railway structures, equipment, or related elements.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: May 3, 2026, 4:18 p.m.