Triple
T38409921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum Buurtspoorweg |
E901445
|
entity |
| Predicate | usesFormerRailwayLine |
P14629
|
FINISHED |
| Object | local railway line between Haaksbergen and Boekelo |
—
|
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: local railway line between Haaksbergen and Boekelo | Statement: [Museum Buurtspoorweg, usesFormerRailwayLine, local railway line between Haaksbergen and Boekelo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFormerRailwayLine Context triple: [Museum Buurtspoorweg, usesFormerRailwayLine, local railway line between Haaksbergen and Boekelo]
-
A.
formerRailwayLine
Indicates that a railway line previously existed in the past but is no longer in operation or has been decommissioned.
-
B.
followsFormerRailroad
chosen
Indicates that something is aligned with or traces the route of a former railroad line.
-
C.
formerRailOperator
Indicates that an entity previously operated a rail service or railway system but no longer does so.
-
D.
formerRailUse
Indicates that an entity previously served a particular railway-related function or purpose, but no longer does so.
-
E.
usedByRailroad
Indicates that something is utilized or operated by a railroad or railway company.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.