Triple
T10650992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Transportation Library |
E250966
|
entity |
| Predicate | collectionMedium |
P78354
|
FINISHED |
| Object | digital |
—
|
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: digital | Statement: [National Transportation Library, collectionMedium, digital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionMedium Context triple: [National Transportation Library, collectionMedium, digital]
-
A.
genreOfCollection
Indicates that a specified genre categorizes or characterizes a particular collection.
-
B.
cultureMedium
Indicates the substance or environment used to grow, maintain, or study a biological specimen or culture.
-
C.
repositoryMedium
chosen
Indicates the physical or digital medium through which a repository stores, maintains, or provides access to its contents.
-
D.
notableRecordingMedium
Indicates that an entity is notably recorded, documented, or expressed using a particular medium or format.
-
E.
musicAlbum
Indicates that there is a relationship where an entity is a music album associated with another entity, such as an artist or release.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff6ba688190b493689d60f616e0 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.