Triple
T38347197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Railway Museum |
E1041575
|
entity |
| Predicate | typeOfTransportMuseum |
P204611
|
FINISHED |
| Object | rail transport museum |
—
|
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: rail transport museum | Statement: [Swedish Railway Museum, typeOfTransportMuseum, rail transport museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTransportMuseum Context triple: [Swedish Railway Museum, typeOfTransportMuseum, rail transport museum]
-
A.
museumAccess
Indicates that an entity has permission or the ability to enter, use, or otherwise gain admission to a museum.
-
B.
operatesMuseum
Indicates that one entity manages and runs the day-to-day operations of a museum.
-
C.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
D.
museumOrSite
Indicates that one entity is a museum or cultural/historical site associated with or relevant to another entity.
-
E.
conversionToMuseum
Indicates that something is being transformed or repurposed into a museum.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.